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IAJIT
2010
96views more  IAJIT 2010»
15 years 4 months ago
A Data Mashup for Dynamic Composition of Adaptive Courses
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
Mohammed Al-Zoube, Baha Khasawneh
TSP
2008
167views more  TSP 2008»
15 years 4 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
KDD
2010
ACM
286views Data Mining» more  KDD 2010»
15 years 4 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
ECAI
2010
Springer
15 years 7 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
ASC
2011
15 years 1 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi