Wednesday, April 26, 2017

Review for 26 April 2017

Below are some of the interesting links I Tweeted about recently.

  1. Couples don't need ML to tell them when they are about to fight they need help to reduce stresses that cause fights:
  2. Facebook open sources it's preferred deep learning framework, Caffe2: 
  3. Five important machine learning projects: 
  4. Cheap learning, not deep learning-simple algorithms are still useful for many problems: 
  5. Neural networks predict heart attacks better than doctors: 
  6. "Automation is a great excuse for assholery", or, why biased data produces biased models: 
  7. MS has merged Python into SQL Server 2017 to give users access to machine learning frameworks on the server: 
  8. Why using AI in the court system is a bad idea:
  9. Thoughts by neuroscientists on Elon Musk's Neural Lace:
  10. 95% of engineers graduating Indian institutions are unfit for software development jobs:
  11. Soft Computing, Volume 21, Number 9, May 2017 
  12. How Facebook plans to make more money using machine learning: 
  13. AI investment is up-we are definitely in an AI hype-cycle: 
  14. Introduction to transfer learning: 
  15. Machine learning moves into recruitment:  Like there's no bias in *those* models..

Monday, April 24, 2017

Soft Computing, Volume 21, Number 9, May 2017

1. A unified view of consistent functions
Author(s): Ping Zhu, Huiyang Xie, Qiaoyan Wen
Pages: 2189-2199

2. On the category of rough sets
Author(s): R. A. Borzooei, A. A. Estaji, M. Mobini
Pages: 2201-2214

3. An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems
Author(s): Xinye Cai, Xin Cheng, Zhun Fan, Erik Goodman, Lisong Wang
Pages: 2215-2236

4. A parallel algorithm for mining constrained frequent patterns using MapReduce
Author(s): Xiaowu Yan, Jifu Zhang, Yaling Xun, Xiao Qin
Pages: 2237-2249

5. A unified framework for the key weights in MAGDM under uncertainty
Author(s): Kaihong Guo, Wenli Li
Pages: 2251-2262

6. Remarks to “Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets”
Author(s): Fangwei Zhang, Shihe Xu
Pages: 2263-2268

7. Classification with boosting of extreme learning machine over arbitrarily partitioned data
Author(s): Ferhat Özgür Çatak
Pages: 2269-2281

8. Nadir point estimation for many-objective optimization problems based on emphasized critical regions
Author(s): Handing Wang, Shan He, Xin Yao
Pages: 2283-2295

9. A solid transportation model with product blending and parameters as rough variables
Author(s): Pradip Kundu, Mouhya B. Kar, Samarjit Kar, Tandra Pal, Manoranjan Maiti
Pages: 2297-2306

10. Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems
Author(s): Hamid Bostani, Mansour Sheikhan
Pages: 2307-2324

11. An interval type-2 fuzzy active contour model for auroral oval segmentation
Author(s): Jiao Shi, Jiaji Wu, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon
Pages: 2325-2345

12. Marginal patch alignment for dimensionality reduction
Author(s): Jie Xu, Shengli Xie, Wenkang Zhu
Pages: 2347-2356

13. MSAFIS: an evolving fuzzy inference system
Author(s): José de Jesús Rubio, Abdelhamid Bouchachia
Pages: 2357-2366

14. A method of combining forward with backward greedy algorithms for sparse approximation to KMSE
Author(s): Yong-Ping Zhao, Dong Liang, Zheng Ji
Pages: 2367-2383

15. On randomization of neural networks as a form of post-learning strategy
Author(s): K. G. Kapanova, I. Dimov, J. M. Sellier
Pages: 2385-2393

16. A direct projection-based group decision-making methodology with crisp values and interval data
Author(s): Zhongliang Yue, Yuying Jia
Pages: 2395-2405

17. Ensemble of many-objective evolutionary algorithms for many-objective problems
Author(s): Yalan Zhou, Jiahai Wang, Jian Chen, Shangce Gao, Luyao Teng
Pages: 2407-2419

18. Trajectory planning for autonomous mobile robot using a hybrid improved QPSO algorithm
Author(s): Tao Xue, Renfu Li, Myongchol Tokgo, Junchol Ri, Gyanghyok Han
Pages: 2421-2437

19. An exact approach for the grocery delivery problem in urban areas
Author(s): F. Carrabs, R. Cerulli, A. Sciomachen
Pages: 2439-2450

20. Personalized cryptography in cognitive management
Author(s): Lidia Ogiela, Makoto Takizawa
Pages: 2451-2464

Tuesday, April 18, 2017

Review for 18 April 2017

Below are some of the interesting links I Tweeted about recently.
  1. Did an AI spam generator just get funded?
  2. AI? Sounds more like a calendar! Maybe the dosage is set by an expert system: 
  3. Distributing machine learning learning on smartphones: Privacy win!
  4. Detecting cows with machine learning to make Indian roads safer: I've been to India, cows really are everywhere.
  5. AlphaGo is to take on multiple human opponents simultaneously: 
  6. Common mistakes in machine learning projects: #1 is similar to my bugbear: biased data sets!
  7. Google AutoDraw converts your doodles into proper drawings using machine learning:
  8. Using machine learning to detect anomalies in data streams:
  9. Detecting fake news with a naive Bayesian classifier: 
  10. A list of cheat-sheets for data science and machine learning:
  11. Fooling image recognition/classifier systems: 
  12. A basic introduction to neural networks: 
  13. Bias in data sets leads to bias in models, there is nothing surprising about that: 
  14. My citations have just topped 1000:

Tuesday, April 11, 2017

IEEE Transactions on Evolutionary Computation, Volume 21, Number 2, April 2017

1. Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes
Author(s): Hisao Ishibuchi; Yu Setoguchi; Hiroyuki Masuda; Yusuke Nojima
Pages: 169 - 190

2. Adaptive Multimodal Continuous Ant Colony Optimization
Author(s): Qiang Yang; Wei-Neng Chen; Zhengtao Yu; Tianlong Gu; Yun Li; Huaxiang Zhang; Jun Zhang
Pages: 191 - 205

3. Optimal Computing Budget Allocation for Particle Swarm Optimization in Stochastic Optimization
Author(s): Si Zhang; Jie Xu; Loo Hay Lee; Ek Peng Chew; Wai Peng Wong; Chun-Hung Chen
Pages: 206 - 219

4. Many-Objective Evolutionary Algorithms Based on Coordinated Selection Strategy
Author(s): Zhenan He; Gary G. Yen
Pages: 220 - 233

5. A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing
Author(s): Maoguo Gong; Hao Li; Enhu Luo; Jing Liu; Jia Liu
Pages: 234 - 248

6. Quantifying Variable Interactions in Continuous Optimization Problems
Author(s): Yuan Sun; Michael Kirley; Saman K. Halgamuge
Pages: 249 - 264

7. A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization
Author(s): Licheng Jiao; Sibo Zhang; Lingling Li; Shuyuan Yang; Fang Liu; Hongxia Hao; Hang Dong
Pages: 265 - 280

8. Factored Evolutionary Algorithms
Author(s): Shane Strasser; John Sheppard; Nathan Fortier; Rollie Goodman
Pages: 281 - 293

9. A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection
Author(s): Nozomi Hitomi; Daniel Selva
Pages: 294 - 314

10. Heterogeneous Cooperative Co-Evolution Memetic Differential Evolution Algorithm for Big Data Optimization Problems
Author(s): Nasser R. Sabar; Jemal Abawajy; John Yearwood
Pages: 315 - 327

IEEE Transactions on Fuzzy Systems, Volume 25, Number 2, April 2017

1. Guest Editorial Special Issue on Fuzzy Techniques in Financial Modeling and Simulation
Author(s): A. Serguieva; H. Ishibuchi; R. R. Yager; V. P. Alade
Pages: 245 - 248

2. Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification
Author(s): Michela Antonelli; Dario Bernardo; Hani Hagras; Francesco Marcelloni
Pages: 249 - 264

3. Rough Information Set and Its Applications in Decision Making
Author(s): Manish Aggarwal
Pages: 265 - 276

4. Modeling Stock Price Dynamics With Fuzzy Opinion Networks
Author(s): Li-Xin Wang
Pages: 277 - 301

5. Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps
Author(s): Leandro Maciel; Rosangela Ballini; Fernando Gomide
Pages: 302 - 314

6. FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities
Author(s): Abdul Malek Yaakob; Antoaneta Serguieva; Alexander Gegov
Pages: 315 - 332

7. Stock Picking by Probability–Possibility Approaches
Author(s): Jean-Marc Le Caillec; Alya Itani; Didier Guériot; Yves Rakotondratsimba
Pages: 333 - 349

8. Mean-Variance Portfolio Selection With the Ordered Weighted Average
Author(s): Sigifredo Laengle; Gino Loyola; José M. Merigó
Pages: 350 - 362

9. Adaptive Budget-Portfolio Investment Optimization Under Risk Tolerance Ambiguity
Author(s): Shuming Wang; Bo Wang; Junzo Watada
Pages: 363 - 376

10. Fuzzy Decision Theory Based Metaheuristic Portfolio Optimization and Active Rebalancing Using Interval Type-2 Fuzzy Sets
Author(s): G. A. Vijayalakshmi Pai
Pages: 377 - 391

11. Fuzzy Approaches to Option Price Modeling
Author(s): Silvia Muzzioli; Bernard De Baets
Pages: 392 - 401

12. Option Pricing With Application of Levy Processes and the Minimal Variance Equivalent Martingale Measure Under Uncertainty
Author(s): Piotr Nowak; Michał Pawłowski
Pages: 402 - 416

13. Quanto European Option Pricing With Ambiguous Return Rates and Volatilities
Author(s): Junfei Zhang; Shoumei Li
Pages: 417 - 424

14. A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions
Author(s): Preetinder Kaur; Madhu Goyal; Jie Lu
Pages: 425 - 438

15. Fuzzy Dynamical System Scenario Simulation-Based Cross-Border Financial Contagion Analysis: A Perspective From International Capital Flows
Author(s): Xinxin Xu; Ziqiang Zeng; Jiuping Xu; Mengxiang Zhang
Pages: 439 - 459

16. Multiobjective Investment Policy for a Nonlinear Stochastic Financial System: A Fuzzy Approach
Author(s): Chien-Feng Wu; Bor-Sen Chen; Weihai Zhang
Pages: 460 - 474

17. A Fuzzy Control Model for Restraint of Bullwhip Effect in Uncertain Closed-Loop Supply Chain With Hybrid Recycling Channels
Author(s): Songtao Zhang; Xue Li; Chunyang Zhang
Pages: 475 - 482

IEEE Transactions on Computational Intelligence and AI in Games, Volume 9, Number 1, March 2017

1. A Hyperheuristic Methodology to Generate Adaptive Strategies for Games
Author(s): Jiawei Li; Graham Kendall
Pages: 1 - 10

2. Opponent Modeling by Expectation–Maximization and Sequence Prediction in Simplified Poker
Author(s): Richard Mealing; Jonathan L. Shapiro
Pages: 11 - 24

3. Neuroevolution in Games: State of the Art and Open Challenges
Author(s): Sebastian Risi; Julian Togelius
Pages: 25 - 41

4. Creating Affective Autonomous Characters Using Planning in Partially Observable Stochastic Domains
Author(s): Xiangyang Huang; Shudong Zhang; Yuanyuan Shang; Weigong Zhang; Jie Liu
Pages: 42 - 62

5. Rapid Skill Capture in a First-Person Shooter
Author(s): David Buckley; Ke Chen; Joshua Knowles
Pages: 63 - 75

6. Partition Search Revisited
Author(s): Piotr Beling
Pages: 76 - 87

7. Only-One-Victor Pattern Learning in Computer Go
Author(s): Jiao Wang; Chenjun Xiao; Tan Zhu; Chu-Husan Hsueh; Wen-Jie Tseng; I-Chen Wu
Pages: 88 - 102

8. Automatic Classification of Player Complaints in Social Games
Author(s): Koray Balcı; Albert Ali Salah
Pages: 103 - 108

Monday, April 10, 2017

Review for 10 April 2017

Below are some of the interesting links I Tweeted about recently.

  1. The limits of deep learning, from the point of view of a psychologist:
  2. Photographic style transfer using deep neural networks: 
  3. AI and automation might not cause a wholesale destruction of jobs after all: 
  4. How to launch a successful AI startup: 
  5. Optimising social media campaigns with AI-not sure what the AI part is, though: 
  6. Top 16 R packages for machine learning-beware, need to register to download full list: 
  7. Will some governments introduce a "human quota" as more work becomes automated? 
  8. A model of AI maturity: 
  9. Top mistakes data scientists make: 
  10. My friend @DavidBFogel has a new website up with curated news on science, tech, AI:
  11. Improved sentiment analysis with a recurrent neural network: 
  12. Using ML to improve selfies: 
  13. Keeping private data private when using it to train AI: 
  14. Do laptops in class harm academic performance? Probably depends on the subject: 
  15. Levels of data readiness for organisations approaching AI applications: 
  16. Build TensorFlow ANN faster with Sonnet, now open-sourced by Google:

Sunday, April 9, 2017

Soft Computing, Volume 21, Issue 8, April 2017

1. Fuzzy prime and maximal filters of residuated lattices
Author(s): Albert Kadji, Celestin Lele, Marcel Tonga
Pages: 1913-1922

2. A novel soft rough fuzzy set: Z-soft rough fuzzy ideals of hemirings and corresponding decision making
Author(s): Jianming Zhan, Kuanyun Zhu
Pages: 1923-1936

3. Multi-view spectral clustering via robust local subspace learning
Author(s): Lin Feng, Lei Cai, Yang Liu, Shenglan Liu
Pages: 1937-1948

4. Parallel multi-objective metaheuristics for smart communications in vehicular networks
Author(s): Jamal Toutouh, Enrique Alba
Pages: 1949-1961

5. A novel semi-supervised learning method for Internet application identification
Author(s): Zhenxiang Chen, Zhusong Liu, Lizhi Peng, Lin Wang, Lei Zhang
Pages: 1963-1975

6. Image fusion by combining multiwavelet with nonsubsampled direction filter bank
Author(s): Geng Peng, Zhengyou Wang, Shuaiqi Liu, Shanna Zhuang
Pages: 1977-1989

7. Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks
Author(s): B. Nithya, C. Mala, E. Sivasankar
Pages: 1991-2004

8. A semantics-based approach to multi-source heterogeneous information fusion in the internet of things
Author(s): Feng Wang, Liang Hu, Jin Zhou, Jiejun Hu, Kuo Zhao
Pages: 2005-2013

9. A two-agent single-machine scheduling problem with late work criteria
Author(s): Du-Juan Wang, Chao-Chung Kang, Yau-Ren Shiau, Chin-Chia Wu
Pages: 2015-2033

10. Flexible neural trees based early stage identification for IP traffic
Author(s): Zhenxiang Chen, Lizhi Peng, Chongzhi Gao, Bo Yang, Yuehui Chen, Jin Li
Pages: 2035-2046

11. A SOM-based Chan–Vese model for unsupervised image segmentation
Author(s): Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
Pages: 2047-2067

12. Multi-objective genetic programming for feature extraction and data visualization
Author(s): Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
Pages: 2069-2089

13. A two-machine flowshop scheduling problem with precedence constraint on two jobs
Author(s): Shuenn-Ren Cheng, Yunqiang Yin, Chih-Hou Wen, Win-Chin Lin, Chin-Chia Wu
Pages: 2091-2103

14. Differential Evolution with Grid-Based Parameter Adaptation
Author(s): Vasileios A. Tatsis, Konstantinos E. Parsopoulos
Pages: 2105-2127

15. Global harmony search with generalized opposition-based learning
Author(s): Zhaolu Guo, Shenwen Wang, Xuezhi Yue, Huogen Yang
Pages: 2129-2137

16. GA-SVM modeling of multiclass seizure detector in epilepsy analysis system using cloud computing
Author(s): Chia-Ping Shen, Jeng-Wei Lin, Feng-Sheng Lin, Andy Yan-Yu Lam, Wei Chen
Pages: 2139-2149

17. A position-aware Merkle tree for dynamic cloud data integrity verification
Author(s): Jian Mao, Yan Zhang, Pei Li, Teng Li, Qianhong Wu, Jianwei Liu
Pages: 2151-2164

18. An improved fuzzy algorithm for image segmentation using peak detection, spatial information and reallocation
Author(s): Xiaofeng Zhang, Gang Wang, Qingtang Su, Qiang Guo, Caiming Zhang
Pages: 2165-2173

19. Enabling public auditability for operation behaviors in cloud storage
Author(s): Hui Tian, Zhaoyi Chen, Chin-Chen Chang, Minoru Kuribayashi
Pages: 2175-2187

Saturday, April 8, 2017

Neural Networks, Volume 89, Pages 1-104, May 2017

1. A weighted information criterion for multiple minor components and its adaptive extraction algorithms   
Author(s): Yingbin Gao, Xiangyu Kong, Huihui Zhang, Li’an Hou
Pages: 1-10

2. A new neural network model for solving random interval linear programming problems   
Author(s): Ziba Arjmandzadeh, Mohammadreza Safi, Alireza Nazemi
Pages: 11-18

3. Fractional-order gradient descent learning of BP neural networks with Caputo derivative   
Author(s): Jian Wang, Yanqing Wen, Yida Gou, Zhenyun Ye, Hua Chen
Pages: 19-30

4. Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience   
Author(s): George Cantwell, Maximilian Riesenhuber, Jessica L. Roeder, F. Gregory Ashby
Pages: 31-38

5. Dynamics of complex-valued fractional-order neural networks   
Author(s): Eva Kaslik, Ileana Rodica Rădulescu
Pages: 39-49

6. Stability and instability of a neuron network with excitatory and inhibitory small-world connections   
Author(s): Dongyuan Yu, Xu Xu, Jing Zhou, Eric Li
Pages: 50-60

7. H_infinity-image state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels   
Author(s): Nan Hou, Hongli Dong, Zidong Wang, Weijian Ren, Fuad E. Alsaadi
Pages: 61-73

8. Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks   
Author(s): Cheng Hu, Juan Yu, Zhanheng Chen, Haijun Jiang, Tingwen Huang
Pages: 74-83

9. Two-stage sparse coding of region covariance via Log-Euclidean kernels to detect saliency   
Author(s): Ying-Ying Zhang, Cai Yang, Ping Zhang
Pages: 84-96

10. Global dissipativity analysis for delayed quaternion-valued neural networks   
Author(s): Zhengwen Tu, Jinde Cao, Ahmed Alsaedi, Tasawar Hayat
Pages: 97-104

Monday, April 3, 2017

Review for 3 April 2017

Below are some of the interesting links I Tweeted about recently.

  1. Naive and jingoistic criticism of IEEE president-everything an organisation the size of the IEEE does is political:
  2. This news comes out the same week as Ghost in the Shell opens: Coincidence?
  3. There's no 'I' in team but there's one in 'stupid' and two in 'idiot': 
  4. D.TRUMP, a measure of how badly people (students) misunderstand things:
  5. Not so much an ANN generating recipes, as an ANN generating strings of characters that resemble recipes:
  6. Paper "Failures of Deep Learning":
  7. A deep ANN-based lip-reading system:
  8. Not so much reverse-engineering as duplicating from open resources:
  9. It's not out-sourcing that destroyed the jobs, it's technology:
  10. Who's liable when an AI gets it wrong?
  11. A graph theory-based traffic routing system for preventing traffic jams:

IEEE Transactions on Neural Networks and Learning Systems, Volume 28, Issue 4, April 2017

1. Guest Editorial: Special Issue on Learning in Neuromorphic Systems and Cyborg Intelligence
Author(s): Zhaohui Wu; Ryad Benosman; Huajin Tang; Shih-Chii Liu
Page(s): 774 - 777

2. Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse
Author(s): Roshan Gopalakrishnan; Arindam Basu
Page(s): 778 - 790

3. Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors
Author(s): Xi Peng; Bo Zhao; Rui Yan; Huajin Tang; Zhang Yi
Page(s): 791 - 803

4. A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
Author(s): Angel Jiménez-Fernández; Elena Cerezuela-Escudero; Lourdes Miró-Amarante; Manuel Jesus Domínguez-Morales; Francisco de Asís Gómez-Rodríguez; Alejandro Linares-Barranco; Gabriel Jiménez-Moreno
Page(s): 804 - 818

5. Neuromorphic Artificial Touch for Categorization of Naturalistic Textures
Author(s): Udaya Bhaskar Rongala; Alberto Mazzoni; Calogero Maria Oddo
Page(s): 819 - 829

6. Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment
Author(s): Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani
Page(s): 830 - 848

7. CONE: Convex-Optimized-Synaptic Efficacies for Temporally Precise Spike Mapping
Author(s): Wang Wei Lee; Sunil L. Kukreja; Nitish V. Thakor
Page(s): 849 - 861

8. A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials
Author(s): Chaohua Wu; Ke Lin; Wei Wu; Xiaorong Gao
Page(s): 862 - 872

9. Quantized Attention-Gated Kernel Reinforcement Learning for Brain–Machine Interface Decoding
Author(s): Fang Wang; Yiwen Wang; Kai Xu; Hongbao Li; Yuxi Liao; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng; José C. Principe
Page(s): 873 - 886

10. Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks
Author(s): Nikola K. Kasabov; Maryam Gholami Doborjeh; Zohreh Gholami Doborjeh
Page(s): 887 - 899

11. An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
Author(s): Subhrajit Roy; Arindam Basu
Page(s): 900 - 910

12. Parameter as a Switch Between Dynamical States of a Network in Population Decoding
Author(s): Jiali Yu; Hua Mao; Zhang Yi
Page(s): 911 - 916

13. A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes
Author(s): Zhicong Qiu; David J. Miller; George Kesidis
Page(s): 917 - 933

14. Manifold-Based Reinforcement Learning via Locally Linear Reconstruction
Author(s): Xin Xu; Zhenhua Huang; Lei Zuo; Haibo He
Page(s): 934 - 947

15. Adaptive Method for Nonsmooth Nonnegative Matrix Factorization
Author(s): Zuyuan Yang; Yong Xiang; Kan Xie; Yue Lai
Page(s): 948 - 960

16. An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose
Author(s): en-Huo Wang; Chen-Ting Tang; Hsin Chen
Page(s): 961 - 974

17. Scalable Algorithms for Multi-Instance Learning
Author(s): Xiu-Shen Wei; Jianxin Wu; Zhi-Hua Zhou
Page(s): 975 - 987

18. An Integrated Learning and Filtering Approach for Fault Diagnosis of a Class of Nonlinear Dynamical Systems
Author(s): Christodoulos Keliris; Marios M. Polycarpou; Thomas Parisini
Page(s): 988 - 1004

19. An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems
Author(s): Luca Bravi; Veronica Piccialli; Marco Sciandrone
Page(s): 1005 - 1010

20. Symmetric Complex-Valued Hopfield Neural Networks
Author(s): Masaki Kobayashi
Page(s): 1011 - 1015

Thursday, March 30, 2017

Complex and Intelligent Systems, Volume 3, Issue 1, March 2017

1. Online game props recommendation with real assessments
Author(s): De-Chuan Zhan, Jun Tang, Zhi-Hua Zhou
Pages: 1-15

2. Consensus-based local information coordination for the networked control of the autonomous intersection management
Author(s): Chairit Wuthishuwong, Ansgar Traechtler
Pages: 17-32

3. Performance improvement of intrusion detection with fusion of multiple sensors
Author(s): Vrushank Shah, Akshai K. Aggarwal, Nirbhay Chaubey
Pages: 33-39

4. Genetic programming for production scheduling: a survey with a unified framework
Author(s): Su Nguyen, Yi Mei, Mengjie Zhang
Pages: 41-66

5. A benchmark test suite for evolutionary many-objective optimization
Author(s): Ran Cheng, Miqing Li, Ye Tian, Xingyi Zhang, Shengxiang Yang, Yaochu Jin, Xin Yao
Pages: 67-81

Tuesday, March 28, 2017

Review for 27 March 2017

Below are some of the interesting links I Tweeted about recently.

  1. Why big, wealthy companies are the primary beneficiaries of machine learning:
  2. How to interpret the R-squared metric in regression: 
  3. The impact of machine learning on healthcare: Genomics is still the major application area.
  4. Stroke prediction with AI: I examined a PhD thesis on this topic 4 years ago.
  5. A matrix of deep learning resources: 
  6. New chips from ARM for AI: Not clear which algorithms they implement, though.
  7. I disagree, NZ student loans are just a tax on the educated, better to scrap them completely & subsidise students: 
  8. Using reinforcement learning in hedge funds:
  9. Predictions for AI in 2017: 
  10. AI is definitely caught in a hype cycle:
  11. Graph databases, maths, and machine learning: 
  12. The importance of data analysis in machine learning: 
  13. Education, health and social care are the areas least likely to be affected by AI and automation: 
  14. Is AI really going to displace human workers? 
  15. Academic promotion is based on research outputs & funding, of course it takes priority over teaching:
  16. Dance Dance Convolution, using ML to choreograph dance game steps: 
  17. Paper on Dance Dance Convolution: 
  18. Tech destroys jobs, but also creates jobs: 
  19. Comparison of frameworks for deep learning: