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WWW
2007
ACM
14 years 11 months ago
Efficient training on biased minimax probability machine for imbalanced text classification
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
Xiang Peng, Irwin King
PADS
2004
ACM
14 years 3 months ago
Conservative Synchronization of Large-Scale Network Simulations
Parallel discrete event simulation techniques have enabled the realization of large-scale models of communication networks containing millions of end hosts and routers. However, t...
Alfred Park, Richard M. Fujimoto, Kalyan S. Peruma...
IJSYSC
2006
113views more  IJSYSC 2006»
13 years 10 months ago
Neural network approach to collision free path-planning for robotic manipulators
: The paper deals with collision free path planning for industrial robotic manipulators. A new efficient algorithm is proposed that is based on a topologically ordered neural netwo...
Anatoly Pashkevich, M. Kazheunikau, A. E. Ruano
MUE
2008
IEEE
173views Multimedia» more  MUE 2008»
14 years 4 months ago
Efficient Data Dissemination in Mobile P2P Ad-Hoc Networks for Ubiquitous Computing
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB us...
Do-Hoon Kim, Myoung Rak Lee, Longzhe Han, Hoh Pete...
PRICAI
2000
Springer
14 years 1 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst