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104
Voted
ICML
2005
IEEE
16 years 1 months ago
Heteroscedastic Gaussian process regression
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
Alexander J. Smola, Quoc V. Le, Stéphane Ca...
87
Voted
ICML
2004
IEEE
16 years 1 months ago
A spatio-temporal extension to Isomap nonlinear dimension reduction
We present an extension of Isomap nonlinear dimension reduction (Tenenbaum et al., 2000) for data with both spatial and temporal relationships. Our method, ST-Isomap, augments the...
Odest Chadwicke Jenkins, Maja J. Mataric
98
Voted
ICALT
2005
IEEE
15 years 6 months ago
The Design for a Collaborative System of English as Foreign Language Composition Writing of Senior High School Students in Taiwa
The authors will propose system integrated mechanisms, a Wiki platform for peer-reviewing, Link Grammar for automatically checking the students’ papers, and a RSS reader to peri...
Yi-Fan Chang, Diane L. Schallert
100
Voted
COLT
2008
Springer
15 years 2 months ago
Time Varying Undirected Graphs
Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using 1 penalization methods. However, current m...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
103
Voted
NIPS
2008
15 years 2 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...