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| 2012 | ||
|---|---|---|
| 49 | Hiroyuki Funaya, Kazushi Ikeda: Statistical properties of support vector machines with forgetting factor. Neural Networks 27: 45-50 (2012) | |
| 2011 | ||
| 48 | Ryota Ikeuchi, Kazushi Ikeda: An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation. ICONIP (1) 2011: 532-540 | |
| 47 | Yuki Maruno, Kenta Cho, Yuzo Okamoto, Hisao Setoguchi, Kazushi Ikeda: An Online Human Activity Recognizer for Mobile Phones with Accelerometer. ICONIP (2) 2011: 358-365 | |
| 46 | Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato: Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN 2011: 1230-1236 | |
| 45 | Kazushi Ikeda, Thilmee M. Baduge, Takaaki Umedu, Hirozumi Yamaguchi, Teruo Higashino: ALMware: A middleware for application layer multicast protocols. Computer Communications 34(14): 1673-1684 (2011) | |
| 44 | Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert A. Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco Wiering, Vicente Zarzoso: Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Transactions on Neural Networks 22(1): 1-7 (2011) | |
| 43 | Kazuho Watanabe, Masato Okada, Kazushi Ikeda: Divergence measures and a general framework for local variational approximation. Neural Networks 24(10): 1102-1109 (2011) | |
| 2010 | ||
| 42 | Kazushi Ikeda, Tadashi Yanagihara, Gen Hattori, Kazunori Matsumoto, Yasuhiro Takishima: Hazardous Document Detection Based on Dependency Relations and Thesaurus. Australasian Conference on Artificial Intelligence 2010: 455-465 | |
| 41 | Takashi Takenouchi, Kazushi Ikeda: Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. ICANN (3) 2010: 321-326 | |
| 40 | Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda: Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. ICDM 2010: 216-225 | |
| 39 | Kazushi Ikeda, Tadashi Yanagihara, Kazunori Matsumoto, Yasuhiro Takishima: Detection of Hazardous Information Based on HTML Elements. RIVF 2010: 1-4 | |
| 2009 | ||
| 38 | Kazushi Ikeda, Tadashi Yanagihara, Kazunori Matsumoto, Yasuhiro Takishima: Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents. Australasian Conference on Artificial Intelligence 2009: 401-411 | |
| 37 | Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando: Estimation of Driving Phase by Modeling Brake Pressure Signals. ICONIP (1) 2009: 468-475 | |
| 2008 | ||
| 36 | Thilmee M. Baduge, Kazushi Ikeda, Hirozumi Yamaguchi, Teruo Higashino: Stability Oriented Overlay Multicast for Multimedia Streaming in Multiple Source Context. ICC 2008: 5708-5714 | |
| 35 | Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata: Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. ICONIP (1) 2008: 679-687 | |
| 34 | Daisuke Komazawa, Kazushi Ikeda, Hiroyuki Funaya: Information Geometry of Interspike Intervals in Spiking Neurons with Refractories. ICONIP (1) 2008: 731-736 | |
| 33 | Hiroyuki Funaya, Yoshihiko Nomura, Kazushi Ikeda: A Support Vector Machine with Forgetting Factor and Its Statistical Properties. ICONIP (1) 2008: 929-936 | |
| 32 | Kazushi Ikeda, Shunsuke Mori, Yuya Ota, Takaaki Umedu, Akihito Hiromori, Hirozumi Yamaguchi, Teruo Higashino: D-Sense: An Integrated Environment for Algorithm Design and Protocol Implementation in Wireless Sensor Networks. MMNS 2008: 20-32 | |
| 31 | Megumi Kaneko, Kazunori Hayashi, Petar Popovski, Kazushi Ikeda, Hideaki Sakai, Ramjee Prasad: Amplify-and-forward cooperative diversity schemes for multicarrier systems. IEEE Transactions on Wireless Communications 7(5-2): 1845-1850 (2008) | |
| 2007 | ||
| 30 | Takemasa Yamasaki, Kazushi Ikeda, Yoshihiko Nomura: An Apporoach to the Learning Curves of an Incremental Support Vector Machines. FOCI 2007: 466-469 | |
| 29 | Kazushi Ikeda, Kazunori Iwata: Information Geometry and Information Theory in Machine Learning. ICONIP (2) 2007: 295-304 | |
| 28 | Hiroyuki Funaya, Kazushi Ikeda: A Network Analysis of Genetic Algorithms. IEICE Transactions 90-D(6): 1002-1005 (2007) | |
| 27 | Kazushi Ikeda, Takemasa Yamasaki: Incremental support vector machines and their geometrical analyses. Neurocomputing 70(13-15): 2528-2533 (2007) | |
| 2006 | ||
| 26 | Hiroyuki Funaya, Kazushi Ikeda: On Properties of Genetic Operators from a Network Analytical Viewpoint. ICONIP (3) 2006: 746-753 | |
| 25 | Kazushi Ikeda: On Geometric Structure of Quasi-Additive Learning Algorithms. IJCNN 2006: 1123-1127 | |
| 24 | Kazushi Ikeda: Effects of kernel function on Nu support vector machines in extreme cases. IEEE Transactions on Neural Networks 17(1): 1-9 (2006) | |
| 23 | Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: A statistical property of multiagent learning based on Markov decision process. IEEE Transactions on Neural Networks 17(4): 829-842 (2006) | |
| 22 | Kazushi Ikeda: Geometric Properties of Quasi-Additive Learning Algorithms. IEICE Transactions 89-A(10): 2812-2817 (2006) | |
| 21 | Kazushi Ikeda: Geometrical Properties of Lifting-Up in the Nu Support Vector Machines. IEICE Transactions 89-D(2): 847-852 (2006) | |
| 20 | Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: The asymptotic equipartition property in reinforcement learning and its relation to return maximization. Neural Networks 19(1): 62-75 (2006) | |
| 2005 | ||
| 19 | Kazushi Ikeda: An Information Geometrical Analysis of Neural Spike Sequences. ICANN (1) 2005: 133-138 | |
| 18 | Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda: Stochastic Processes for Return Maximization in Reinforcement Learning. ICANN (2) 2005: 209-214 | |
| 17 | Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning. IEICE Transactions 88-D(1): 135-142 (2005) | |
| 16 | Kazushi Ikeda, Noboru Murata: Geometrical Properties of Nu Support Vector Machines with Different Norms. Neural Computation 17(11): 2508-2529 (2005) | |
| 15 | Kazushi Ikeda: Information Geometry of Interspike Intervals in Spiking Neurons. Neural Computation 17(12): 2719-2735 (2005) | |
| 14 | Kazushi Ikeda, Tsutomu Aoishi: An asymptotic statistical analysis of support vector machines with soft margins. Neural Networks 18(3): 251-259 (2005) | |
| 2004 | ||
| 13 | Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: Asymptotic equipartition property on empirical sequence in reinforcement learning. Neural Networks and Computational Intelligence 2004: 90-95 | |
| 12 | Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: A new criterion using information gain for action selection strategy in reinforcement learning. IEEE Transactions on Neural Networks 15(4): 792-799 (2004) | |
| 11 | Kazushi Ikeda: Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods. IEICE Transactions 87-D(1): 258-260 (2004) | |
| 10 | Kazushi Ikeda: An Asymptotic Statistical Theory of Polynomial Kernel Methods. Neural Computation 16(8): 1705-1719 (2004) | |
| 9 | Kazushi Ikeda: Geometry and learning curves of kernel methods with polynomial kernels. Systems and Computers in Japan 35(7): 41-48 (2004) | |
| 2003 | ||
| 8 | Kazushi Ikeda: Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach. ICANN 2003: 201-208 | |
| 7 | Kazunori Iwata, Kazushi Ikeda: Temporal Difference Coding in Reinforcement Learning. IDEAL 2003: 218-227 | |
| 6 | Kazushi Ikeda, Ryohei Sakamoto: Convergence analyses of stereo acoustic echo cancelers with preprocessing. IEEE Transactions on Signal Processing 51(5): 1324-1334 (2003) | |
| 5 | Youhua Wang, Kazushi Ikeda, Kenji Nakayama: A numerically stable fast Newton-type adaptive filter based on order recursive least squares algorithm. IEEE Transactions on Signal Processing 51(9): 2357-2368 (2003) | |
| 4 | Kazushi Ikeda: A synfire chain in layered coincidence detectors with random synaptic delays. Neural Networks 16(1): 39-46 (2003) | |
| 2002 | ||
| 3 | Kazushi Ikeda: Convergence analysis of block orthogonal projection and affine projection algorithms. Signal Processing 82(3): 491-496 (2002) | |
| 1998 | ||
| 2 | Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama: Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. ICONIP 1998: 1215-1218 | |
| 1991 | ||
| 1 | Yoshihiko Hirai, Sadafumi Tomida, Kazushi Ikeda, Masaru Sasago, Masayuki Endo, Sigeru Hayama, Noboru Nomura: Three-dimensional resist process simulator PEACE (photo and electron beam lithography analyzing computer engineering system). IEEE Trans. on CAD of Integrated Circuits and Systems 10(6): 802-807 (1991) | |
Colors in the list of coauthors
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