1034 search results - page 54 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
120
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Modern interactive computer games provide the ability to objectively record complex human behavior, offering a variety of interesting challenges to the pattern-recognition communi...
95
Voted
ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
123
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NIPS
2004
15 years 2 months ago
2004
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
129
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
132
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ECML
1993
Springer
15 years 4 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...