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COLT
2003
Springer
15 years 12 months ago
Learning All Subfunctions of a Function
Sublearning, a model for learning of subconcepts of a concept, is presented. Sublearning a class of total recursive functions informally means to learn all functions from that cla...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen
CIKM
2009
Springer
15 years 10 months ago
Empirical justification of the gain and discount function for nDCG
The nDCG measure has proven to be a popular measure of retrieval effectiveness utilizing graded relevance judgments. However, a number of different instantiations of nDCG exist, d...
Evangelos Kanoulas, Javed A. Aslam
EUROCRYPT
2007
Springer
15 years 10 months ago
Instance-Dependent Verifiable Random Functions and Their Application to Simultaneous Resettability
Abstract. We introduce a notion of instance-dependent verifiable random functions (InstD-VRFs for short). Informally, an InstD-VRF is, in some sense, a verifiable random function [...
Yi Deng, Dongdai Lin
KES
2008
Springer
15 years 6 months ago
Functional genetic programming and exhaustive program search with combinator expressions
Using a strongly typed functional programming language for genetic programming has many advantages, but evolving functional programs with variables requires complex genetic operat...
Forrest Briggs, Melissa O'Neill
PR
2006
152views more  PR 2006»
15 years 6 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke