2009 |
25 | EE | Bharath K. Sriperumbudur,
Arthur Gretton,
Kenji Fukumizu,
Gert R. G. Lanckriet,
Bernhard Schölkopf:
A note on integral probability metrics and $\phi$-divergences
CoRR abs/0901.2698: (2009) |
24 | EE | Yusuke Watanabe,
Kenji Fukumizu:
Graph polynomials and approximation of partition functions with Loopy Belief Propagation
CoRR abs/0903.4527: (2009) |
2008 |
23 | EE | Bharath K. Sriperumbudur,
Arthur Gretton,
Kenji Fukumizu,
Gert R. G. Lanckriet,
Bernhard Shoelkopf:
Injective Hilbert Space Embeddings of Probability Measures.
COLT 2008: 111-122 |
22 | EE | Kenji Fukumizu,
Bharath K. Sriperumbudur,
Arthur Gretton,
Bernhard Schölkopf:
Characteristic Kernels on Groups and Semigroups.
NIPS 2008: 473-480 |
21 | EE | Katsuyuki Hagiwara,
Kenji Fukumizu:
Relation between weight size and degree of over-fitting in neural network regression.
Neural Networks 21(1): 48-58 (2008) |
2007 |
20 | EE | Shotaro Akaho,
Kenji Fukumizu:
Active Learning for Network Estimation.
CIBCB 2007: 402-409 |
19 | EE | Xiaohai Sun,
Dominik Janzing,
Bernhard Schölkopf,
Kenji Fukumizu:
A kernel-based causal learning algorithm.
ICML 2007: 855-862 |
18 | EE | Arthur Gretton,
Kenji Fukumizu,
Choon Hui Teo,
Le Song,
Bernhard Schölkopf,
Alex J. Smola:
A Kernel Statistical Test of Independence.
NIPS 2007 |
17 | EE | Kenji Fukumizu,
Arthur Gretton,
Xiaohai Sun,
Bernhard Schölkopf:
Kernel Measures of Conditional Dependence.
NIPS 2007 |
2006 |
16 | EE | Marco Cuturi,
Kenji Fukumizu:
Kernels on Structured Objects Through Nested Histograms.
NIPS 2006: 329-336 |
2005 |
15 | EE | Kenji Fukumizu,
Francis R. Bach,
Arthur Gretton:
Statistical Convergence of Kernel CCA.
NIPS 2005 |
14 | EE | Marco Cuturi,
Kenji Fukumizu:
Multiresolution Kernels
CoRR abs/cs/0507033: (2005) |
13 | EE | Marco Cuturi,
Kenji Fukumizu,
Jean-Philippe Vert:
Semigroup Kernels on Measures.
Journal of Machine Learning Research 6: 1169-1198 (2005) |
2004 |
12 | EE | Kenji Fukumizu,
Francis R. Bach,
Michael I. Jordan:
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces.
Journal of Machine Learning Research 5: 73-99 (2004) |
2003 |
11 | EE | Kenji Fukumizu,
Francis R. Bach,
Michael I. Jordan:
Kernel Dimensionality Reduction for Supervised Learning.
NIPS 2003 |
2002 |
10 | EE | Kenji Fukumizu,
Shotaro Akaho,
Shun-ichi Amari:
Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting.
NIPS 2002: 865-872 |
2000 |
9 | | Hyeyoung Park,
Kenji Fukumizu,
Shun-ichi Amari,
Yillbyung Lee:
An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface.
PRICAI 2000: 199-207 |
8 | | Shun-ichi Amari,
Hyeyoung Park,
Kenji Fukumizu:
Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons.
Neural Computation 12(6): 1399-1409 (2000) |
7 | EE | Kenji Fukumizu,
Shun-ichi Amari:
Local minima and plateaus in hierarchical structures of multilayer perceptrons.
Neural Networks 13(3): 317-327 (2000) |
6 | EE | Hyeyoung Park,
Shun-ichi Amari,
Kenji Fukumizu:
Adaptive natural gradient learning algorithms for various stochastic models.
Neural Networks 13(7): 755-764 (2000) |
1999 |
5 | EE | Kenji Fukumizu:
Generalization Error of Limear Neural Networks in Unidentifiable Cases.
ATL 1999: 51-62 |
1998 |
4 | | Kenji Fukumizu:
Effect of Batch Learning in Multilayer Neural Networks.
ICONIP 1998: 67-70 |
1996 |
3 | EE | Shin Ishi,
Kenji Fukumizu,
Sumio Watanabe:
A network of chaotic elements for information processing.
Neural Networks 9(1): 25-40 (1996) |
2 | EE | Kenji Fukumizu:
A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network.
Neural Networks 9(5): 871-879 (1996) |
1995 |
1 | EE | Kenji Fukumizu:
Active Learning in Multilayer Perceptrons.
NIPS 1995: 295-301 |