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169
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...
245
Voted
ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
163
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ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
211
Voted
ICML
2004
IEEE
16 years 8 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
212
Voted
ICML
2004
IEEE
16 years 8 months ago
2004
IEEE
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...