2828 search results - page 87 / 566 » Effective Learning Model and Activate Learning Algorithm for... |
149
click to vote
ATAL
2005
Springer
15 years 7 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
114
click to vote
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
117
Voted
ICML
2003
IEEE
15 years 7 months ago
2003
IEEE
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
110
Voted
EMNLP
2004
15 years 3 months ago
2004
We present a novel discriminative approach to parsing inspired by the large-margin criterion underlying support vector machines. Our formulation uses a factorization analogous to ...
115
Voted
NAACL
2010
15 years 6 days ago
2010
This paper address the problem of entity linking. Specifically, given an entity mentioned in unstructured texts, the task is to link this entity with an entry stored in the existi...