1034 search results - page 19 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
106
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
100
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ALT
2010
Springer
15 years 2 months ago
2010
Springer
We address the problem of constructing randomized online algorithms for the Metrical Task Systems (MTS) problem on a metric against an oblivious adversary. Restricting our attenti...
ECSQARU
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
AI
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
115
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...