945 search results - page 110 / 189 » Dialog Convergence and Learning |
139
Voted
AAAI
2008
15 years 5 months ago
2008
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
119
Voted
NIPS
2007
15 years 4 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
134
Voted
AOIS
2004
15 years 4 months ago
2004
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
122
Voted
AAAI
2000
15 years 4 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
107
Voted
NIPS
1994
15 years 4 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...