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ICML
2009
IEEE
16 years 7 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
16 years 1 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
AOSE
2007
Springer
16 years 1 months ago
O-MaSE: A Customizable Approach to Developing Multiagent Development Processes
This paper describes the Organization-based Multiagent System Engineering (O-MaSE) Process Framework, which helps process engineers define custom multiagent systems development pr...
Juan C. García-Ojeda, Scott A. DeLoach, Rob...
BTW
2003
Springer
94views Database» more  BTW 2003»
16 years 1 days ago
The Paradigm of Relational Indexing: a Survey
Abstract: In order to achieve efficient execution plans for queries comprising userdefined data types and predicates, the database system has to be provided with appropriate index ...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
15 years 8 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...