1034 search results - page 54 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
150
click to vote
ICPR
2006
IEEE
16 years 4 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...
121
Voted
ICDM
2010
IEEE
15 years 1 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...
151
click to vote
NIPS
2004
15 years 4 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...
156
click to vote
KDD
2006
ACM
16 years 3 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 ...
154
click to vote
ECML
1993
Springer
15 years 7 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...