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ICML
2010
IEEE
15 years 4 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
244
Voted
SIGMOD
2008
ACM
297views Database» more  SIGMOD 2008»
17 years 2 months ago
Automatic Virtual Machine Configuration for Database Workloads
Virtual machine monitors are becoming popular tools for the deployment of database management systems and other enterprise software applications. In this paper, we consider a commo...
Ahmed A. Soror, Ashraf Aboulnaga, Kenneth Salem, P...
ALT
2005
Springer
16 years 20 days ago
Measuring Statistical Dependence with Hilbert-Schmidt Norms
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...
Arthur Gretton, Olivier Bousquet, Alex J. Smola, B...
ACL
2008
15 years 5 months ago
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
Rahul Bhagat, Deepak Ravichandran
CVPR
2008
IEEE
16 years 5 months ago
Taylor expansion based classifier adaptation: Application to person detection
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
Cha Zhang, Raffay Hamid, Zhengyou Zhang