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» Randomized Algorithms and Complexity Theory
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JMLR
2010
148views more  JMLR 2010»
14 years 9 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 3 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 3 months ago
Estimating the confidence of conditional functional dependencies
Conditional functional dependencies (CFDs) have recently been proposed as extensions of classical functional dependencies that apply to a certain subset of the relation, as specif...
Graham Cormode, Lukasz Golab, Flip Korn, Andrew Mc...
MOBIHOC
2004
ACM
15 years 8 months ago
On the behavior of communication links of a node in a multi-hop mobile environment
In this work, we develop an analytical framework to investigate the behavior of the communication links of a node in a random mobility environment. Analytical expressions characte...
Prince Samar, Stephen B. Wicker
CIKM
2008
Springer
15 years 5 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai