1034 search results - page 31 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
CEC
2010
IEEE
13 years 12 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
COLT
2008
Springer
14 years 19 days ago
2008
Springer
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
UAI
1996
14 years 5 days ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...