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ICAART
2010
INSTICC
16 years 4 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»
16 years 1 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
15 years 8 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
16 years 19 days 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
16 years 1 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