489 search results - page 54 / 98 » A Formal Model for Process Context Learning |
JCP
2008
14 years 11 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 ...
ICML
2006
IEEE
16 years 19 days ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
106
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JMLR
2006
14 years 11 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
140
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DAGM
2011
Springer
13 years 11 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
COORDINATION
2009
Springer
16 years 11 days ago
2009
Springer
Process algebras are a set of mathematically rigourous languages with well defined semantics that permit modelling behaviour of concurrent and communicating systems. Verification o...