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CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 8 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
WEA
2010
Springer
311views Algorithms» more  WEA 2010»
13 years 8 months ago
Realtime Classification for Encrypted Traffic
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and tr...
Roni Bar-Yanai, Michael Langberg, David Peleg, Lia...
CLEF
2009
Springer
13 years 8 months ago
Unsupervised Morphological Analysis by Formal Analogy
Abstract. While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approac...
Jean-François Lavallée, Philippe Lan...
EMNLP
2009
13 years 7 months ago
Statistical Estimation of Word Acquisition with Application to Readability Prediction
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
ICCV
2009
IEEE
13 years 7 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu