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ALT
2008
Springer
16 years 3 months ago
Entropy Regularized LPBoost
In this paper we discuss boosting algorithms that maximize the soft margin of the produced linear combination of base hypotheses. LPBoost is the most straightforward boosting algor...
Manfred K. Warmuth, Karen A. Glocer, S. V. N. Vish...
ALT
2006
Springer
16 years 3 months ago
e-Science and the Semantic Web: A Symbiotic Relationship
e-Science is scientific investigation performed through distributed global collaborations between scientists and their resources, and the computing infrastructure that enables this...
Carole A. Goble, Óscar Corcho, Pinar Alper,...
ISDA
2009
IEEE
16 years 1 months ago
Improving Academic Performance Prediction by Dealing with Class Imbalance
Abstract—This paper introduces and compares some techniques used to predict the student performance at the university. Recently, researchers have focused on applying machine lear...
Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thiem...
ACML
2009
Springer
16 years 29 days ago
Linear Time Model Selection for Mixture of Heterogeneous Components
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma...
ECML
2007
Springer
16 years 16 days ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski