1018 search results - page 72 / 204 » Learning Probabilistic Models of Contours |
141
click to vote
CAISE
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
IJDAR
2010
14 years 8 months ago
2010
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
AROBOTS
1999
14 years 9 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
115
click to vote
ACL
1998
14 years 11 months ago
1998
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
ACL
2003
14 years 11 months ago
2003
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...