3416 search results - page 101 / 684 » Can Machines Learn Logics |
155
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ICML
1997
IEEE
16 years 7 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
124
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ICALT
2009
IEEE
15 years 10 months ago
2009
IEEE
Modern teaching tools, such as educational robotics, require new learning environments. The teacher especially needs to be supported in novel ways. Conflative learning environment...
163
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ECML
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
142
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MLCW
2005
Springer
15 years 11 months ago
2005
Springer
In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We describe the methods we used in regression challenges, including our winning method ...
184
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FPL
2000
Springer
15 years 10 months ago
2000
Springer
This paper discusses the design and implementation of finite state machines (FSM) with combinational circuits that are built primarily from RAM blocks. It suggests a novel state as...