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122
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ICML
2004
IEEE
16 years 3 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
138
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IJET
2007
121views more  IJET 2007»
15 years 2 months ago
A Technology Based Program That Matches Enrichment Resources With Student Strengths
Remarkable advances in instructional communication technology (ICT) have now made is possible to provide high levels of enrichment and the kinds of curricular differentiation that...
Joseph S. Renzulli, Sally M. Reis
164
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BMCBI
2010
224views more  BMCBI 2010»
15 years 2 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
MLDM
2005
Springer
15 years 8 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
ICFEM
2009
Springer
15 years 9 months ago
Combining Static Model Checking with Dynamic Enforcement Using the Statecall Policy Language
Internet protocols encapsulate a significant amount of state, making implementing the host software complex. In this paper, we define the Statecall Policy Language (SPL) which pr...
Anil Madhavapeddy