2008 |
29 | EE | Thilmee M. Baduge,
Kazushi Ikeda,
Hirozumi Yamaguchi,
Teruo Higashino:
Stability Oriented Overlay Multicast for Multimedia Streaming in Multiple Source Context.
ICC 2008: 5708-5714 |
28 | EE | 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 |
27 | EE | 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 |
26 | EE | Takemasa Yamasaki,
Kazushi Ikeda,
Yoshihiko Nomura:
An Apporoach to the Learning Curves of an Incremental Support Vector Machines.
FOCI 2007: 466-469 |
25 | EE | Kazushi Ikeda,
Kazunori Iwata:
Information Geometry and Information Theory in Machine Learning.
ICONIP (2) 2007: 295-304 |
24 | EE | Hiroyuki Funaya,
Kazushi Ikeda:
A Network Analysis of Genetic Algorithms.
IEICE Transactions 90-D(6): 1002-1005 (2007) |
23 | EE | Kazushi Ikeda,
Takemasa Yamasaki:
Incremental support vector machines and their geometrical analyses.
Neurocomputing 70(13-15): 2528-2533 (2007) |
2006 |
22 | EE | Hiroyuki Funaya,
Kazushi Ikeda:
On Properties of Genetic Operators from a Network Analytical Viewpoint.
ICONIP (3) 2006: 746-753 |
21 | EE | Kazushi Ikeda:
On Geometric Structure of Quasi-Additive Learning Algorithms.
IJCNN 2006: 1123-1127 |
20 | EE | Kazushi Ikeda:
Effects of kernel function on Nu support vector machines in extreme cases.
IEEE Transactions on Neural Networks 17(1): 1-9 (2006) |
19 | EE | 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) |
18 | EE | Kazushi Ikeda:
Geometric Properties of Quasi-Additive Learning Algorithms.
IEICE Transactions 89-A(10): 2812-2817 (2006) |
17 | EE | Kazushi Ikeda:
Geometrical Properties of Lifting-Up in the Nu Support Vector Machines.
IEICE Transactions 89-D(2): 847-852 (2006) |
16 | EE | 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 |
15 | EE | Kazushi Ikeda:
An Information Geometrical Analysis of Neural Spike Sequences.
ICANN (1) 2005: 133-138 |
14 | EE | Kazunori Iwata,
Hideaki Sakai,
Kazushi Ikeda:
Stochastic Processes for Return Maximization in Reinforcement Learning.
ICANN (2) 2005: 209-214 |
13 | EE | 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) |
12 | EE | Kazushi Ikeda,
Noboru Murata:
Geometrical Properties of Nu Support Vector Machines with Different Norms.
Neural Computation 17(11): 2508-2529 (2005) |
11 | EE | Kazushi Ikeda:
Information Geometry of Interspike Intervals in Spiking Neurons.
Neural Computation 17(12): 2719-2735 (2005) |
10 | EE | Kazushi Ikeda,
Tsutomu Aoishi:
An asymptotic statistical analysis of support vector machines with soft margins.
Neural Networks 18(3): 251-259 (2005) |
2004 |
9 | | Kazunori Iwata,
Kazushi Ikeda,
Hideaki Sakai:
Asymptotic equipartition property on empirical sequence in reinforcement learning.
Neural Networks and Computational Intelligence 2004: 90-95 |
8 | EE | Kazushi Ikeda:
An Asymptotic Statistical Theory of Polynomial Kernel Methods.
Neural Computation 16(8): 1705-1719 (2004) |
7 | EE | Kazushi Ikeda:
Geometry and learning curves of kernel methods with polynomial kernels.
Systems and Computers in Japan 35(7): 41-48 (2004) |
2003 |
6 | EE | Kazushi Ikeda:
Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach.
ICANN 2003: 201-208 |
5 | EE | Kazunori Iwata,
Kazushi Ikeda:
Temporal Difference Coding in Reinforcement Learning.
IDEAL 2003: 218-227 |
4 | EE | Kazushi Ikeda:
A synfire chain in layered coincidence detectors with random synaptic delays.
Neural Networks 16(1): 39-46 (2003) |
2002 |
3 | EE | 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 | EE | 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) |