13026 search results - page 409 / 2606 » Probabilistic Relational Models |
149
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ILP
2007
Springer
15 years 11 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
152
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JCP
2008
15 years 5 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
157
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ACL
2011
14 years 8 months ago
2011
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
130
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FGR
1998
IEEE
15 years 9 months ago
1998
IEEE
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
158
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ICRA
2010
IEEE
15 years 3 months ago
2010
IEEE
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...