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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
NIPS
2000
13 years 10 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
ICADL
2004
Springer
137views Education» more  ICADL 2004»
14 years 2 months ago
Using Content-Based and Link-Based Analysis in Building Vertical Search Engines
This paper reports our research in the Web page filtering process in specialized search engine development. We propose a machine-learning-based approach that combines Web content a...
Michael Chau, Hsinchun Chen
SIGIR
2006
ACM
14 years 3 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
CIKM
2009
Springer
14 years 3 months ago
Towards non-directional Xpath evaluation in a RDBMS
XML query languages use directional path expressions to locate data in an XML data collection. They are tightly coupled to the structure of a data collection, and can fail when ev...
Sourav S. Bhowmick, Curtis E. Dyreson, Erwin Leona...