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IOR
2002
112views more  IOR 2002»
13 years 8 months ago
Interdisciplinary Meandering in Science
abstract mathematics. My mentor was Professor S. Bochner, a distinguished contributor to harmonic analysis. My classmates included Richard Bellman (who later nurtured the method of...
Samuel Karlin
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
14 years 2 months ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
ECML
2006
Springer
14 years 15 days ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
JMLR
2006
134views more  JMLR 2006»
13 years 8 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
PODS
2008
ACM
128views Database» more  PODS 2008»
14 years 9 months ago
Shape sensitive geometric monitoring
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
Izchak Sharfman, Assaf Schuster, Daniel Keren