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ICNC
2005
Springer
14 years 1 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
SIGIR
2000
ACM
14 years 2 days ago
Partial collection replication versus caching for information retrieval systems
Abstract The explosion of content in distributed information retrieval (IR) systems requires new mechanisms to attain timely and accurate retrieval of unstructured text. In this pa...
Zhihong Lu, Kathryn S. McKinley
ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
13 years 5 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
RECOMB
2002
Springer
14 years 8 months ago
Deconvolving sequence variation in mixed DNA populations
We present an original approach to identifying sequence variants in a mixed DNA population from sequence trace data. The heart of the method is based on parsimony: given a wildtyp...
Andy Wildenberg, Steven Skiena, Pavel Sumazin
NIPS
1998
13 years 9 months ago
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
James M. Coughlan, Alan L. Yuille