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ICML
2004
IEEE
16 years 5 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
EMISA
2004
Springer
15 years 10 months ago
A Virtual Laboratory for IT Security Education
Abstract: Success of IT security not only depends on the evolution of technologies, but also relies on the knowledge of IT-Personnel and the level of their IT-security education. I...
Ji Hu, Dirk Cordel, Christoph Meinel
133
Voted
BIRTHDAY
1997
Springer
15 years 9 months ago
The Job Assignment Problem: A Study in Parallel and Distributed Machine Learning
This article describes a parallel and distributed machine learning approach to a basic variant of the job assignment problem. The approach is in the line of the multiagent learning...
Gerhard Weiß
ICANN
2005
Springer
15 years 10 months ago
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
168
Voted
NIPS
2008
15 years 6 months ago
Breaking Audio CAPTCHAs
CAPTCHAs are computer-generated tests that humans can pass but current computer systems cannot. CAPTCHAs provide a method for automatically distinguishing a human from a computer ...
Jennifer Tam, Jirí Simsa, Sean Hyde, Luis v...