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JAIR
2008
148views more  JAIR 2008»
15 years 6 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
KDD
2012
ACM
188views Data Mining» more  KDD 2012»
13 years 9 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
ICML
2005
IEEE
16 years 7 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
WWW
2003
ACM
16 years 1 days ago
Experience With Teaching and Learning in Cooperative Knowledge Areas
Since the early 1990s, different infrastructures for supporting learning have been developed and practically tested in Paderborn. One of the key products of our research is the we...
Thorsten Hampel, Reinhard Keil-Slawik
CI
2002
92views more  CI 2002»
15 years 6 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...