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PKDD
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
PKDD
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
IPPS
2010
IEEE
13 years 7 months ago
2010
IEEE
We present collaborative peer-to-peer algorithms for the problem of approximating frequency counts for popular items distributed across the peers of a large-scale network. Our alg...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...