1034 search results - page 50 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
110
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AVSS
2009
IEEE
15 years 1 months ago
2009
IEEE
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
IJON
1998
14 years 9 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
100
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
MICRO
2008
IEEE
15 years 4 months ago
2008
IEEE
—Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although sever...
NIPS
2004
14 years 11 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...