311 search results - page 25 / 63 » Learning first-order probabilistic models with combining rul... |
151
Voted
CA
1999
IEEE
15 years 8 months ago
1999
IEEE
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
142
Voted
CORR
2002
Springer
15 years 3 months ago
2002
Springer
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
165
Voted
SUM
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
140
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
124
Voted
ADVCS
2007
15 years 3 months ago
2007
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...