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EMNLP
2011
14 years 4 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
COMCOM
2006
129views more  COMCOM 2006»
15 years 4 months ago
An adaptive mobility anchor point selection scheme in Hierarchical Mobile IPv6 networks
In Hierarchical Mobile IPv6 (HMIPv6) networks, the mobility anchor point (MAP) is introduced to localize binding update messages destined to the home agent. In a large-scale wirel...
Sangheon Pack, Minji Nam, Taekyoung Kwon, Yanghee ...
AAAI
2006
15 years 5 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
BMCBI
2010
153views more  BMCBI 2010»
15 years 4 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
PR
2007
184views more  PR 2007»
15 years 3 months ago
Accurate object contour tracking based on boundary edge selection
In this paper, a novel method for accurate subject tracking, by selecting only tracked subject boundary edges in a video stream with a changing background and moving camera, is pr...
Myung-Cheol Roh, Tae-Yong Kim, Jihun Park, Seong-W...