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NeuroCOLT Technical Reports 1998
1998-001
JNN, a Randomized Algorithm for Learning Multilayer
Networks in Polynomial Time
Elisseeff & Paugam-Moisy
1998-002
A comparison of non-informative priors for
Bayesian networks
Grunwald
1998-003
Data-Dependent Structural Risk Minimisation
for Perceptron Decision Trees
Shawe-Taylor & Cristianini
1998-004
Are Lower Bounds Easier over the Reals?
Fournier & Koiran
1998-005
Query, PACS and simple-PAC Learning
Castro & Guijarro
1998-006
The Real Dimension Problem is NPR-Complete
Koiran
1998-007
Elimination of Parameters in the Polynomial
Hierarchy
Koiran
1998-008
Bayesian Classifiers are Large Margin Hyperplanes
in a Hilbert Space
Cristianini, Shawe-Taylor, Sykacek
1998-009
Learning via Internal Representation
Dichterman
1998-010
Discrete versus analog computation: Some aspects
of studying the same problem in different computational models
Meer
1998-011
How many connected components must a difficult
set have?
Matamala & Meer
1998-012
The Separation Theorem for the Relation Classes
Associated to the Extended Grzegorczyk Classes
Gakwaya
1998-013
Isomorphism Theorem for BSS Recursively Enumerable
Sets over Real Closed Fields
Michaux & Troestler
1998-014
Efficient Read-Restricted Monotone CNF/DNF
Dualization by Learning with Membership Queries
Domingo, Mishra, Pitt
1998-015
Equality Is a Jump
Boldi & Vigna
1998-016
Multiplicative Updatings for Support-Vector
Learning
Cristianini, Campbell, Shawe-Taylor
1998-017
Dynamically Adapting Kernels in Support Vector
Machines
Cristianini, Campbell, Shawe-Taylor
1998-018
Practical Algorithms for On-line Sampling
Domingo, Gavalda, Watanabe
1998-019
Generalization Performance of Regularization
Networks and Support Vector Machines via
Entropy Numbers of Compact Operators
Williamson, Smola, Scholkopf
1998-020
Margin Distribution Bounds on Generalization
Shawe-Taylor & Cristianini
1998-021
Soft Margins for AdaBoost
Raetsch, Onoda, Mueller
1998-022
Generalization Bounds for Convex Combinations
of Kernel Functions
Smola, Williamson, Schoelkopf
1998-023
Entropy Numbers, Operators and Support Vector
Kernels
Smola, Williamson, Schoelkopf
1998-024
Semiparametric Support Vector and Linear Programming
Machines
Smola, Friei, Schoelkopf
1998-025
Gambling in a rigged casino: The adversarial
multi-armed bandit problem
Auer, Cesa-Bianchi, Freund, Schapire
1998-026
On Prediction of Individual Sequences
Cesa-Bianchi, Lugosi, Fabra
1998-027
Generalization Bounds and Learning Rates for
Regularized Principal Manifolds
Smola, Williamson, Schoelkopf
1998-028
Quantization Functionals and Regularized Principal
Manifolds
Smola, Mika, Schoelkopf
1998-029
Robust Bounds on the Generalization from the
Margin Distribution
Shawe-Taylor & Cristianini
1998-030
A Tutorial on Support Vector Regression
Smola & Schoelkopf
1998-031
New support vector algorithms
Schölkopf , Smola, Williamson & Bartlett
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