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ICAART
2010
INSTICC
14 years 7 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
IDEAS
2007
IEEE
128views Database» more  IDEAS 2007»
14 years 4 months ago
Streaming Random Forests
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
FLAIRS
2006
13 years 11 months ago
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
INFOCOM
2005
IEEE
14 years 3 months ago
Hybrid search schemes for unstructured peer-to-peer networks
— We study hybrid search schemes for unstructured peer-to-peer networks. We quantify performance in terms of number of hits, network overhead, and response time. Our schemes comb...
Christos Gkantsidis, Milena Mihail, Amin Saberi
ACG
2009
Springer
14 years 4 months ago
A Lock-Free Multithreaded Monte-Carlo Tree Search Algorithm
With the recent success of Monte-Carlo tree search algorithms in Go and other games, and the increasing number of cores in standard CPUs, the efficient parallelization of the sear...
Markus Enzenberger, Martin Müller 0003