1256 search results - page 56 / 252 » Learning to Reason |
147
Voted
ML
2000
ACM
15 years 2 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
119
click to vote
GIS
2009
ACM
15 years 7 months ago
2009
ACM
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
119
Voted
ICCBR
2005
Springer
2005
Springer
Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation
15 years 8 months ago
Non-learning problem solvers have been applied to many interesting and complex domains. Experience-based learning techniques have been developed to augment the capabilities of cert...
112
Voted
ATAL
2004
Springer
15 years 8 months ago
2004
Springer
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
123
Voted
ICMLA
2007
15 years 4 months ago
2007
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...