4255 search results - page 563 / 851 » On Learning Boolean Functions |
197
Voted
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
91
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
121
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ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
107
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
109
Voted
STOC
2003
ACM
16 years 2 months ago
2003
ACM
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...