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IDA
2005
Springer
15 years 7 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
IJCAI
2007
15 years 3 months ago
Maximum Margin Coresets for Active and Noise Tolerant Learning
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
Sariel Har-Peled, Dan Roth, Dav Zimak
ICML
2010
IEEE
15 years 2 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
IICS
2009
Springer
15 years 6 months ago
Bi-directional Distribution of eLearning Content for Cross-technology Learning Communities
: This article describes the use of a service-oriented architecture to bridge the gap between different eLearning types and tools. The basic concept is a bi-directional distributio...
Raphael Zender, Enrico Dressler, Ulrike Lucke, Dja...
AI
1999
Springer
15 years 1 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram