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COLT
1998
Springer
15 years 6 months ago
Cross-Validation for Binary Classification by Real-Valued Functions: Theoretical Analysis
This paper concerns the use of real-valued functions for binary classification problems. Previous work in this area has concentrated on using as an error estimate the `resubstitut...
Martin Anthony, Sean B. Holden
NIPS
1990
15 years 3 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
NIPS
1994
15 years 3 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
15 years 8 months ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond
EUROCRYPT
2006
Springer
15 years 5 months ago
VSH, an Efficient and Provable Collision-Resistant Hash Function
Abstract. We introduce VSH, very smooth hash, a new S-bit hash function that is provably collision-resistant assuming the hardness of finding nontrivial modular square roots of ver...
Scott Contini, Arjen K. Lenstra, Ron Steinfeld