 | 2012 |
|---|
| 80 |       | Ryotaro Kamimura:
Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables.
Appl. Intell. 36(4): 834-856 (2012) |
| 79 | | Ryotaro Kamimura:
Relative information maximization and its application to the extraction of explicit class structure in SOM.
Neurocomputing 82: 37-51 (2012) |
| 2011 |
|---|
| 78 |  | Ryotaro Kamimura:
Relative Information Maximization and Its Application to the Detection of Explicit Class Structure in SOM.
FOCI 2011: 74-79 |
| 77 | | Ryotaro Kamimura:
Explicit Class Structure by Weighted Cooperative Learning.
ICANN (1) 2011: 109-116 |
| 76 | | Ryotaro Kamimura:
Individually and Collectively Treated Neurons and its Application to SOM .
IJCCI (NCTA) 2011: 24-30 |
| 75 | | Ryotaro Kamimura:
Cooperation control and enhanced class structure in self-organizing maps.
IJCNN 2011: 689-695 |
| 74 | | Ryotaro Kamimura:
Explicit class structure with closeness and similarity between neurons.
NaBIC 2011: 92-98 |
| 73 | | Ryotaro Kamimura:
Structural enhanced information and its application to improved visualization of self-organizing maps.
Appl. Intell. 34(1): 102-115 (2011) |
| 72 | | Ryotaro Kamimura:
Self-enhancement learning: target-creating learning and its application to self-organizing maps.
Biological Cybernetics 104(4-5): 305-338 (2011) |
| 71 | | Ryotaro Kamimura:
Selective information enhancement learning for creating interpretable representations in competitive learning.
Neural Networks 24(4): 387-405 (2011) |
| 70 | | Ryotaro Kamimura:
Supposed maximum information for comprehensible representations in SOM.
Neurocomputing 74(7): 1116-1134 (2011) |
| 2010 |
|---|
| 69 | | Ryotaro Kamimura:
Generation of Comprehensible Representations by Supposed Maximum Information.
ICANN (2) 2010: 333-342 |
| 68 | | Ryotaro Kamimura:
Pseudo-network Growing for Gradual Interpretation of Input Patterns.
ICONIP (2) 2010: 375-382 |
| 67 | | Ryotaro Kamimura:
Information-Theoretic Competitive and Cooperative Learning for Self-Organizing Maps.
ICONIP (2) 2010: 423-430 |
| 66 | | Ryotaro Kamimura:
Explicit class structure produced by information-theoretic competitive and cooperative learning.
NaBIC 2010: 628-633 |
| 65 | | Ryotaro Kamimura:
Information-theoretic enhancement learning and its application to visualization of self-organizing maps.
Neurocomputing 73(13-15): 2642-2664 (2010) |
| 2009 |
|---|
| 64 | | Ryotaro Kamimura:
Selective enhancement learning in competitive learning.
IJCNN 2009: 1497-1502 |
| 63 | | Ryotaro Kamimura:
Self-enhancement learning: Self-supervised and target-creating learning.
IJCNN 2009: 1503-1509 |
| 62 | | Ryotaro Kamimura:
Self-supervised learning by information enhancement: Target-Generating and Spontaneous learning for Competitive Learning.
SMC 2009: 113-119 |
| 61 | | Ryotaro Kamimura:
Structural Enhanced Information to Detect Features in Competitive Learning.
SMC 2009: 3395-3401 |
| 60 | | Ryotaro Kamimura:
Relative Relaxation and Weighted Information Loss to Simplify and Stabilize Feature Detection.
JACIII 13(4): 489-498 (2009) |
| 59 | | Ryotaro Kamimura:
Feature Discovery by Information Loss.
JCP 4(10): 943-953 (2009) |
| 58 | | Ryotaro Kamimura:
Enhancing and Relaxing Competitive Units for Feature Discovery.
Neural Processing Letters 30(1): 37-57 (2009) |
| 57 | | Ryotaro Kamimura:
An information-theoretic approach to feature extraction in competitive learning.
Neurocomputing 72(10-12): 2693-2704 (2009) |
| 2008 |
|---|
| 56 | | Ryotaro Kamimura:
Partially Enhanced Competitive Learning.
ICONIP (2) 2008: 163-170 |
| 55 | | Ryotaro Kamimura:
Feature Detection by Structural Enhanced Information.
ICONIP (2) 2008: 171-178 |
| 54 | | Ryotaro Kamimura:
Enhanced Visualization by Combing SOM and Mixture Models.
ICONIP (2) 2008: 268-275 |
| 53 | | Ryotaro Kamimura:
Collective Activations to Generate Self-Organizing Maps.
ICONIP (2) 2008: 943-950 |
| 52 | | Ryotaro Kamimura:
Feature Discovery by Enhancement and Relaxation of Competitive Units.
IDEAL 2008: 148-155 |
| 51 | | Ryotaro Kamimura:
Conditional information and information loss for flexible feature extraction.
IJCNN 2008: 2074-2083 |
| 2007 |
|---|
| 50 | | Ryotaro Kamimura,
Fumihiko Yoshida,
Ryozo Kitajima:
Interpreting cabinet approval ratings by neural networks.
Artificial Intelligence and Applications 2007: 72-77 |
| 49 | | Ryotaro Kamimura:
Forced information and information loss in information-theoretic competitive learning.
Artificial Intelligence and Applications 2007: 78-84 |
| 48 | | Ryotaro Kamimura,
Fumihiko Yoshida,
Yamashita Toshie,
Ryozo Kitajima:
Information-Theoretic Variable Selection in Neural Networks.
FOCI 2007: 222-227 |
| 47 | | Ryotaro Kamimura:
Combining Hard and Soft Competition in Information-Theoretic Learning.
FOCI 2007: 578-582 |
| 46 | | Ryotaro Kamimura:
Forced Information and Information Loss for a Student Survey Analysis.
FOCI 2007: 630-636 |
| 45 | | Ryotaro Kamimura:
Partially Activated Neural Networks by Controlling Information.
ICANN (1) 2007: 480-489 |
| 44 | | Ryotaro Kamimura:
Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning.
IJCNN 2007: 1767-1773 |
| 43 | | Ryotaro Kamimura,
Ryozo Kitajima:
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning.
IJCNN 2007: 1779-1784 |
| 42 | | Ryotaro Kamimura:
Information loss to extract distinctive features in competitive learning.
SMC 2007: 1217-1222 |
| 2006 |
|---|
| 41 | | Ryotaro Kamimura,
Fumihiko Yoshida,
Ryozo Kitajima:
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons.
ICONIP (1) 2006: 626-633 |
| 40 | | Ryotaro Kamimura:
Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning.
ICONIP (1) 2006: 925-934 |
| 39 | | Ryotaro Kamimura,
Fumihiko Yoshida:
Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning.
ICONIP (2) 2006: 897-908 |
| 38 | | Ryotaro Kamimura:
Supervised Information Maximization by Weighted Distance.
IJCNN 2006: 1790-1796 |
| 2005 |
|---|
| 37 | | Ryotaro Kamimura:
Modular Structure Generation and Its Application to Feature Extraction.
Artificial Intelligence and Applications 2005: 166-171 |
| 36 | | Ryotaro Kamimura:
Extracting Common and Distinctive Features by Cost-Sensitive Information Maximization.
Artificial Intelligence and Applications 2005: 172-177 |
| 35 | | Ryotaro Kamimura,
Sachiko Aida-Hyugaji:
Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning.
ICANN (2) 2005: 215-222 |
| 34 | | Ryotaro Kamimura:
Unifying cost and information in information-theoretic competitive learning.
Neural Networks 18(5-6): 711-718 (2005) |
| 2004 |
|---|
| 33 | | Ryotaro Kamimura:
One-Epoch Learning for Supervised Information-Theoretic Competitive Learning.
ICONIP 2004: 524-529 |
| 32 | | Ryotaro Kamimura:
Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions.
ICONIP 2004: 530-536 |
| 31 | | Ryotaro Kamimura,
Osamu Uchida:
Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions.
ICONIP 2004: 653-658 |
| 30 | | Ryotaro Kamimura:
Improving feature extraction performance of greedy network-growing algorithm by inverse euclidean distance.
Connect. Sci. 16(2): 129-138 (2004) |
| 29 | | Ryotaro Kamimura:
Multi-Layered Greedy Network-Growing Algorithm: Extension of Greedy Network-Growing Algorithm to Multi-Layered Networks.
Int. J. Neural Syst. 14(1): 9-26 (2004) |
| 28 | | Ryotaro Kamimura:
Cooperative information control for self-organizing maps.
Neurocomputing 62: 225-265 (2004) |
| 2003 |
|---|
| 27 | | Ryotaro Kamimura:
Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning.
ICANN 2003: 99-106 |
| 26 | | Ryotaro Kamimura,
Osamu Uchida:
Improving Feature Extraction Performance of Greedy Network-Growing Algorithm.
IDEAL 2003: 1056-1061 |
| 25 | | Ryotaro Kamimura,
Haruhiko Takeuchi:
Generating Explicit Self-Organizing Maps by Information Maximization.
IDEAL 2003: 236-245 |
| 24 | | Ryotaro Kamimura:
Information-theoretic Competitive Learning.
Modelling and Simulation 2003: 359-365 |
| 23 | | Ryotaro Kamimura,
Seiki Hahimoto:
Economic Data Analysis and Cooperative Information Control.
Modelling and Simulation 2003: 599-605 |
| 22 | | Ryotaro Kamimura:
Information theoretic competitive learning in self-adaptive multi-layered networks.
Connect. Sci. 15(1): 3-26 (2003) |
| 21 | | Ryotaro Kamimura,
Fumihiko Yoshida:
Teacher-directed learning: information-theoretic competitive learning in supervised multi-layered networks.
Connect. Sci. 15(2-3): 117-140 (2003) |
| 20 | | Ryotaro Kamimura:
Information-Theoretic Competitive Learning with Inverse Euclidean Distance Output Units.
Neural Processing Letters 18(3): 163-204 (2003) |
| 2002 |
|---|
| 19 | | Ryotaro Kamimura,
Taeko Kamimura,
Haruhiko Takeuchi:
Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks.
Connect. Sci. 14(2): 137-162 (2002) |
| 18 | | Ryotaro Kamimura:
Controlling internal representations by structural information.
Neurocomputing 48(1-4): 705-725 (2002) |
| 2001 |
|---|
| 17 | | Ryotaro Kamimura,
Taeko Kamimura:
Information Maximization and Language Acquisition.
ICANN 2001: 1225-1232 |
| 16 | | Ryotaro Kamimura,
Taeko Kamimura:
Cooperative Information Control to Coordinate Competition and Cooperation.
ICANN 2001: 835-842 |
| 15 | | Ryotaro Kamimura,
Taeko Kamimura,
Osamu Uchida:
Flexible feature discovery and structural information control.
Connect. Sci. 13(4): 323-347 (2001) |
| 2000 |
|---|
| 14 | | Ryotaro Kamimura:
Conditional Information Analysis.
IJCNN (1) 2000: 197-202 |
| 13 | | Ryotaro Kamimura:
Selective Information Acquisition with Application to Pattern Classification.
IJCNN (1) 2000: 203-210 |
| 1998 |
|---|
| 12 | | Ryotaro Kamimura:
Integrated Information Processors with Multi-functional Components.
ICONIP 1998: 1501-1506 |
| 11 | | Ryotaro Kamimura:
Structural Information Control to Improve Generalization.
ICONIP 1998: 643-646 |
| 1997 |
|---|
| 10 | | Ryotaro Kamimura:
Constrained Information Maximization to Control Internal Representatio.
J. Braz. Comp. Soc. 4(1): (1997) |
| 9 | | Ryotaro Kamimura:
Information Controller to Maximize and Minimize Information.
Neural Computation 9(6): 1357-1380 (1997) |
| 1996 |
|---|
| 8 | | Ryotaro Kamimura:
Unification of Information Maximization and Minimization.
NIPS 1996: 508-514 |
| 1995 |
|---|
| 7 | | Ryotaro Kamimura,
Toshiyuki Takagi,
Shohachiro Nakanishi:
Improving Generalization Performance by Information Minimization.
IEICE Transactions 78-D(2): 163-173 (1995) |
| 6 | | Ryotaro Kamimura,
Shohachiro Nakanishi:
Kernel Hidden Unit Analysis-Network Size Reduction by Entropy Minimization-.
IEICE Transactions 78-D(4): 484-489 (1995) |
| 5 | | Ryotaro Kamimura,
Shohachiro Nakanishi:
Feature detectors by autoencoders: Decomposition of input patterns into atomic features by neural networks.
Neural Processing Letters 2(6): 17-22 (1995) |
| 1993 |
|---|
| 4 | | Ryotaro Kamimura:
Generation of Internal Representation by alpha.
NIPS 1993: 271-278 |
| 1992 |
|---|
| 3 | | Ryotaro Kamimura:
Competitive Learning by Entropy Minimization.
ALT 1992: 111-122 |
| 2 | | Ryotaro Kamimura:
Complexity Term to Generate Explicit Internal Representation in Recurrent Neural Networks.
IFIP Congress (1) 1992: 336-342 |
| 1991 |
|---|
| 1 | | Ryotaro Kamimura:
Application of the Recurrent Neural Network to the Problem of Language Acquisition.
Conference on Analysis of Neural Network Applications 1991: 14-28 |
Data released under the ODC-BY 1.0 license — See also our legal information page