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TSP
2008
167views more  TSP 2008»
15 years 3 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...
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 3 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
ICIP
2008
IEEE
16 years 6 months ago
Multi-concept learning with large-scale multimedia lexicons
Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexico...
Lexing Xie, Rong Yan, Jun Yang 0003
ILP
2004
Springer
15 years 10 months ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
EWCBR
2008
Springer
15 years 6 months ago
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
How to endow case-based reasoning systems with effective case adaptation capabilities is a classic problem. A significant impediment to developing automated adaptation procedures i...
David B. Leake, Jay H. Powell