241 search results - page 24 / 49 » Learning Classes of Probabilistic Automata |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We study the power of classical and quantum algorithms equipped with nonuniform advice, in the form of a coin whose bias encodes useful information. This question takes on particu...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
GECCO
2010
Springer
14 years 6 days ago
2010
Springer
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
UAI
1998
13 years 8 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...