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ICML
2007
IEEE
16 years 7 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
ICML
2008
IEEE
16 years 7 months ago
Random classification noise defeats all convex potential boosters
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
Philip M. Long, Rocco A. Servedio
CP
2009
Springer
16 years 7 months ago
Constraints of Difference and Equality: A Complete Taxonomic Characterisation
Abstract. Many combinatorial problems encountered in practice involve constraints that require that a set of variables take distinct or equal values. The AllDifferent constraint, i...
Emmanuel Hebrard, Dániel Marx, Barry O'Sull...
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
16 years 7 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
ICCAD
2007
IEEE
164views Hardware» more  ICCAD 2007»
16 years 3 months ago
Design, synthesis and evaluation of heterogeneous FPGA with mixed LUTs and macro-gates
— Small gates, such as AND2, XOR2 and MUX2, have been mixed with lookup tables (LUTs) inside the programmable logic block (PLB) to reduce area and power and increase performance ...
Yu Hu, Satyaki Das, Steven Trimberger, Lei He