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TEC
2010
173views more  TEC 2010»
13 years 2 months ago
Analysis of Computational Time of Simple Estimation of Distribution Algorithms
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
INFOCOM
2012
IEEE
11 years 10 months ago
Reverse-engineering BitTorrent: A Markov approximation perspective
Abstract—BitTorrent has been the most popular P2P (Peer-toPeer) paradigm during recent years. Built upon great intuition, the piece-selection and neighbor-selection modules roote...
Ziyu Shao, Hao Zhang, Minghua Chen, Kannan Ramchan...
ICML
2005
IEEE
14 years 9 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 5 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...
IJCAI
2007
13 years 9 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld