696 search results - page 100 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
IJPRAI
2002
14 years 9 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
116
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CONCUR
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Modelling is becoming a necessity in studying biological signalling pathways, because the combinatorial complexity of such systems rapidly overwhelms intuitive and qualit...
ER
1997
Springer
15 years 2 months ago
1997
Springer
Turbulence is in the nature of business environments. Changes brought about because of different requirements such as social, political, technical and economic, exert pressures on ...
175
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EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 2 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
104
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AAAI
2012
13 years 7 days ago
2012
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...