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» A Machine Learning Approach to Information Extraction
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MVA
2007
154views Computer Vision» more  MVA 2007»
15 years 4 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
AAAI
1994
15 years 3 months ago
Corpus-Driven Knowledge Acquisition for Discourse Analysis
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...
Stephen Soderland, Wendy G. Lehnert
ICML
2009
IEEE
16 years 3 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
115
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CNSM
2010
15 years 16 days ago
An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype
The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
Riyad Alshammari, A. Nur Zincir-Heywood
PST
2004
15 years 3 months ago
Supporting Privacy in E-Learning with Semantic Streams
The goal of the semantic web is to facilitate the exchange of meaningful information in a form that is easy for machines to process. The goal of an e-learning system is to support ...
Lori Kettel, Christopher A. Brooks, Jim E. Greer