1062 search results - page 117 / 213 » Sublinear Optimization for Machine Learning |
104
Voted
AAAI
2008
15 years 4 months ago
2008
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
136
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ICML
1996
IEEE
16 years 3 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
127
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
114
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
122
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...