1474 search results - page 8 / 295 » Using Machine Learning to Focus Iterative Optimization |
136
Voted
ECAI
2008
Springer
15 years 4 months ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
102
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
136
Voted
SIGIR
2011
ACM
14 years 5 months ago
2011
ACM
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
136
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
117
Voted
IJCAI
2003
15 years 3 months ago
2003
We present an approximate policy iteration algorithm that uses rollouts to estimate the value of each action under a given policy in a subset of states and a classifier to general...