The outline of chapter 5 of the open-source textbook "Intelligent Information Systems" is now available online here. Chapter 5 is entitled "Fuzzy Sets and Fuzzification" and covers the basic principles of fuzzy sets, fuzzy membership functions and fuzzification of crisp data.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Tuesday, November 20, 2012
Monday, November 19, 2012
Paper submission deadline: IJCCI 2013
The paper submission deadline for the 5th International Joint Conference on Computational Intelligence (IJCCI) 2013 is March 13, 2013. This conference will be held in Vilamoura, Portugal, 20-22 September, 2013. IJCCI is a combination of three computational intelligence conferences: The International Conference on Evolutionary Computation Theory and Applications (ECTA), the International Conference on Fuzzy Computation Theory and Application (FCTA), and the International Conference on Neural Theory and Applications (NCTA).
Labels:
call for papers,
conferences
Friday, November 16, 2012
Reminder: paper submission deadline for CEC 2013
A reminder that the deadline for submitting papers to the IEEE Congress on Evolutionary Computation (CEC) 2013 is February 15, 2013. This conference will be held in Cancun, Mexico, June 20-23, 2013.
Labels:
call for papers,
conferences,
reminder
Thursday, November 15, 2012
Conference paper deadline: ICDM 2013
The paper submission deadline for the 13th Industrial Conference on Data Mining (ICDM) 2013 is 18 December 2012. This conference will be held in New York, July 16-21, 2013.
Labels:
call for papers,
conferences
Wednesday, November 14, 2012
Paper submission deadline: MLDM 2013
The deadline for submitting papers to the International Conference on Machine Learning and Data Mining (MLDM) 2013 is 18 December 2012. This conference will be held in New York July 19-25, 2013.
Labels:
call for papers,
conferences
Tuesday, November 13, 2012
Paper submission deadline: IJCAI 2013
The paper submission deadline for the 23rd International Joint Conference on Artificial Intelligence (IJCAI) 2013 is January 31, 2013. This conference will be held in Beijing, China, August 3-9, 2013.
Labels:
call for papers,
conferences
Monday, November 12, 2012
Conference paper submission deadline: ICONS 2013
The deadline for submitting papers to the 3rd International Conference on Intelligent Control and Automation Science (ICONS) 2013 is 15 March, 2013. This conference will be held in Chengdu, China, 2-4 September, 2013.
Labels:
call for papers,
conferences
Friday, November 9, 2012
Conference paper deadline: ICIC 2013
The paper submission deadline for the 2013 International Conference on Intelligent Computing (ICIC) is February 15, 2013. This conference will be held in Nanning, China, July 28-31, 2013.
Labels:
call for papers,
conferences
Thursday, November 8, 2012
Conference paper deadline: BICS 2013
The deadline for submitting papers to the 2013 International Conference on Brain-Inspired Cognitive Systems (BICS) is February 1, 2013. This conference will be held in Beijing, China, June 9-11, 2013.
Labels:
call for papers,
conferences
Wednesday, November 7, 2012
Conference paper deadline: ICICIP 2013
The deadline for submitting papers to the Fourth International Conference on Intelligent Control and Information Processing (ICICIP) 2013 is February 1, 2013. This conference will be held in Beijing, China, June 9-11, 2013.
Labels:
call for papers,
conferences
Tuesday, November 6, 2012
Conference paper deadline: IC-SI 2013
The deadline for submitting papers to the Fourth International Conference on Swarm Intelligence (IC-SI) 2013 is January 1, 2013. This conference will be held in Harbin, China, June 12-15, 2013.
Labels:
call for papers,
conferences
Monday, November 5, 2012
Conference paper deadline: ESANN 2013
The deadline for submitting papers to the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2013 is 30 November, 2012. This symposium will be helf in Bruges, Belgium, 24-26 April, 2013.
Labels:
call for papers,
conferences
Friday, November 2, 2012
Guest posts and conference reports
There are a lot of posts on this blog about conference deadlines - mostly calls for papers. I would like to post more reports on these conferences, similar to this one. Since I don't make it to a lot of conferences these days, this is an open invitation to the readers of this blog: if you attend a conference on computational intelligence, and would like to write a guest post about it, please contact me via contactATmike.watts.net.nz
If you would like to write a guest post on another topic related to computational intelligence, please contact me and let me know what you would like to write about.
If you would like to write a guest post on another topic related to computational intelligence, please contact me and let me know what you would like to write about.
Labels:
conferences,
dear Internet,
guest post
Thursday, November 1, 2012
Reminder: paper submission deadline for IJCNN 2013
A reminder that the deadline for submitting papers to the IEEE International Joint Conference on Neural Networks (IJCNN) 2013 is February 1, 2013. This conference will be held in Dallas, Texas, August 4-9, 2013.
Labels:
call for papers,
conferences,
papers
Wednesday, October 31, 2012
Conference paper deadline: KES 2013
The deadline for submitting papers to the 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) 2013 is 1st March, 2013. This conference will be held in Kitakyushu, Japan, September 9-12, 2013.
Labels:
call for papers,
conferences
Tuesday, October 30, 2012
Open source textbook - Chapter 4 outline
The outline of chapter 4 of the open-source textbook "Intelligent Information Systems" is now available online here. Chapter 4 is entitled "Crisp Rule Based Systems" and covers rule based production systems.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Wednesday, October 24, 2012
IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 11, November 2012
1. Decirculation Process in Neural Network Dynamics
Authors: Mau-Hsiang Shih; Feng-Sheng Tsai
Page(s): 1677 - 1689
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287597
2. Robust Support Vector Regression for Uncertain Input and Output Data
Authors: Gao Huang; Shiji Song; Cheng Wu; Keyou You
Page(s): 1690 - 1700
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287596
3. Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural
Networks
Authors: Sjoerd van den Dries; Marco A. Wiering
Page(s): 1701 - 1713
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6291798
4. Global Tracking Control of Strict-Feedback Systems Using Neural Networks
Authors: Jeng-Tze Huang
Page(s): 1714 - 1725
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6295670
5. Unsupervised Learning of Categorical Data With Competing Models
Authors: Roman Ilin
Page(s): 1726 - 1737
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298015
6. Discriminative Least Squares Regression for Multiclass Classification and
Feature Selection
Authors: Shiming Xiang; Feiping Nie; Gaofeng Meng; Chunhong Pan; Changshui Zhang
Page(s): 1738 - 1754
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298965
7. Decentralized Asynchronous Learning in Cellular Neural Networks
Authors: Bipul Luitel; Ganesh Kumar Venayagamoorthy
Page(s): 1755 - 1766
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313917
8. Boosted Network Classifiers for Local Feature Selection
Authors: Timothy Hancock; Hiroshi Mamitsuka
Page(s): 1767 - 1778
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6316175
9. Semisupervised Classification With Cluster Regularization
Authors: Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao
Page(s): 1779 - 1792
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6317193
10. Latent Feature Kernels for Link Prediction on Sparse Graphs
Authors: Canh Hao Nguyen; Hiroshi Mamitsuka
Page(s): 1793 - 1804
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6317192
11. Innovative Second-Generation Wavelets Construction With Recurrent Neural
Networks for Solar Radiation Forecasting
Authors: Giacomo Capizzi; Christian Napoli; Francesco Bonanno
Page(s): 1805 - 1815
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320656
12. Multistability of Neural Networks With Mexican-Hat-Type Activation Functions
Authors: Lili Wang; Tianping Chen
Page(s): 1816 - 1826
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320658
13. Convergence Analyses on On-Line Weight Noise Injection-Based Training
Algorithms for MLPs
Authors: John Sum; Chi-Sing Leung; Kevin Ho
Page(s): 1827 - 1840
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6324446
14. Time Series Modeling and Forecasting Using Memetic Algorithms for
Regime-Switching Models
Authors: Christoph Bergmeir; Isaac Triguero; Daniel Molina; José Luis Aznarte; José
Manuel BenÃtez
Page(s): 1841 - 1847
Authors: Mau-Hsiang Shih; Feng-Sheng Tsai
Page(s): 1677 - 1689
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287597
2. Robust Support Vector Regression for Uncertain Input and Output Data
Authors: Gao Huang; Shiji Song; Cheng Wu; Keyou You
Page(s): 1690 - 1700
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287596
3. Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural
Networks
Authors: Sjoerd van den Dries; Marco A. Wiering
Page(s): 1701 - 1713
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6291798
4. Global Tracking Control of Strict-Feedback Systems Using Neural Networks
Authors: Jeng-Tze Huang
Page(s): 1714 - 1725
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6295670
5. Unsupervised Learning of Categorical Data With Competing Models
Authors: Roman Ilin
Page(s): 1726 - 1737
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298015
6. Discriminative Least Squares Regression for Multiclass Classification and
Feature Selection
Authors: Shiming Xiang; Feiping Nie; Gaofeng Meng; Chunhong Pan; Changshui Zhang
Page(s): 1738 - 1754
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298965
7. Decentralized Asynchronous Learning in Cellular Neural Networks
Authors: Bipul Luitel; Ganesh Kumar Venayagamoorthy
Page(s): 1755 - 1766
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313917
8. Boosted Network Classifiers for Local Feature Selection
Authors: Timothy Hancock; Hiroshi Mamitsuka
Page(s): 1767 - 1778
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6316175
9. Semisupervised Classification With Cluster Regularization
Authors: Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao
Page(s): 1779 - 1792
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6317193
10. Latent Feature Kernels for Link Prediction on Sparse Graphs
Authors: Canh Hao Nguyen; Hiroshi Mamitsuka
Page(s): 1793 - 1804
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6317192
11. Innovative Second-Generation Wavelets Construction With Recurrent Neural
Networks for Solar Radiation Forecasting
Authors: Giacomo Capizzi; Christian Napoli; Francesco Bonanno
Page(s): 1805 - 1815
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320656
12. Multistability of Neural Networks With Mexican-Hat-Type Activation Functions
Authors: Lili Wang; Tianping Chen
Page(s): 1816 - 1826
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320658
13. Convergence Analyses on On-Line Weight Noise Injection-Based Training
Algorithms for MLPs
Authors: John Sum; Chi-Sing Leung; Kevin Ho
Page(s): 1827 - 1840
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6324446
14. Time Series Modeling and Forecasting Using Memetic Algorithms for
Regime-Switching Models
Authors: Christoph Bergmeir; Isaac Triguero; Daniel Molina; José Luis Aznarte; José
Manuel BenÃtez
Page(s): 1841 - 1847
Labels:
IEEE TNNLS,
journals
Monday, October 22, 2012
Open source textbook - Chapter 3 outline
The outline of Chapter 3 of the open-source textbook "Intelligent Information Systems" is now available online. Chapter 3 is entitled "Non-Linear Transformations, Fourier and Wavelet Transformation" . My previous post about the
outline of Chapter 1, "Introduction to Intelligent Information Systems",
is here while the post about Chapter 2, "Simple and Linear Transformations", is here.
If you have any comments or suggestions about this chapter outline, please make them in the comments on this blog, or email me at contactATmike.watts.net.nz.
If you have any comments or suggestions about this chapter outline, please make them in the comments on this blog, or email me at contactATmike.watts.net.nz.
Friday, October 19, 2012
Reminder: paper submission deadline for ICAISC 2013
A reminder that the deadline for submitting papers to the International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2013 is November 20, 2012. This conference will be held in Zakopane, Poland, June 9-13, 2013.
Labels:
call for papers,
conferences,
reminder
Wednesday, October 17, 2012
IEEE Transactions on Evolutionary Computation: Volume 16, Issue 5, 2012
1. Differential Evolution With Neighborhood Mutation for Multimodal Optimization
Qu, B. Y.; Suganthan, P. N.; Liang, J. J.
Page(s): 601 - 614
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151116
2. Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment
Naznin, F.; Sarker, R.; Essam, D.
Page(s): 615 - 631
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151111
3. Approximating the Genetic Diversity of Populations in the Quasi-Equilibrium State
Arabas, J.
Page(s): 632 - 644
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151093
4. A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming
Neshatian, K.; Zhang, M.; Andreae, P.
Page(s): 645 - 661
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151112
5. Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering
Arias-Montano, A.; Coello, C. A. C.; Mezura-Montes, E.
Page(s): 662 - 694
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151094
6. Review and Study of Genotypic Diversity Measures for Real-Coded Representations
Corriveau, G.; Guilbault, R.; Tahan, A.; Sabourin, R.
Page(s): 695 - 710
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151099
7. Evolution of Plastic Learning in Spiking Networks via Memristive Connections
Howard, G.; Gale, E.; Bull, L.; de Lacy Costello, B.; Adamatzky, A.
Page(s): 711 - 729
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151103
8. Memetic Algorithms for De Novo Motif Discovery
Chan, T.-M.; Leung, K.-S.; Lee, K.-H.
Page(s): 730 - 748
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151097
9. Genetic Algorithms for Discovery of Matrix Multiplication Methods
Joo, A.; Ekart, A.; Neirotti, J. P.
Page(s): 749 - 751
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151102
10. Erratum to “On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint” [Aug 12 578-596]
Beyer, H.-G.; Finck, S.
Page(s): 752
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6314484
Qu, B. Y.; Suganthan, P. N.; Liang, J. J.
Page(s): 601 - 614
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151116
2. Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment
Naznin, F.; Sarker, R.; Essam, D.
Page(s): 615 - 631
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151111
3. Approximating the Genetic Diversity of Populations in the Quasi-Equilibrium State
Arabas, J.
Page(s): 632 - 644
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151093
4. A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming
Neshatian, K.; Zhang, M.; Andreae, P.
Page(s): 645 - 661
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151112
5. Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering
Arias-Montano, A.; Coello, C. A. C.; Mezura-Montes, E.
Page(s): 662 - 694
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151094
6. Review and Study of Genotypic Diversity Measures for Real-Coded Representations
Corriveau, G.; Guilbault, R.; Tahan, A.; Sabourin, R.
Page(s): 695 - 710
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151099
7. Evolution of Plastic Learning in Spiking Networks via Memristive Connections
Howard, G.; Gale, E.; Bull, L.; de Lacy Costello, B.; Adamatzky, A.
Page(s): 711 - 729
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151103
8. Memetic Algorithms for De Novo Motif Discovery
Chan, T.-M.; Leung, K.-S.; Lee, K.-H.
Page(s): 730 - 748
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151097
9. Genetic Algorithms for Discovery of Matrix Multiplication Methods
Joo, A.; Ekart, A.; Neirotti, J. P.
Page(s): 749 - 751
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151102
10. Erratum to “On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint” [Aug 12 578-596]
Beyer, H.-G.; Finck, S.
Page(s): 752
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6314484
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