2363 search results - page 145 / 473 » Learning Algorithms for Domain Adaptation |
140
click to vote
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
147
Voted
AAAI
2011
14 years 3 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
133
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
144
click to vote
ICWL
2005
Springer
15 years 8 months ago
2005
Springer
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
111
click to vote
ECSQARU
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...