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» A Framework for Multiple-Instance Learning
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ICML
2008
IEEE
14 years 10 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
FOCS
2009
IEEE
14 years 3 months ago
A Complete Characterization of Statistical Query Learning with Applications to Evolvability
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
Vitaly Feldman
NAACL
2010
13 years 7 months ago
Online Learning for Interactive Statistical Machine Translation
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
Daniel Ortiz-Martínez, Ismael García...
ECTEL
2007
Springer
14 years 3 months ago
Learning Resource Referencing, Search and Aggregation at the eLearning System Level
TELOS is a new eLearning system being built within the Canadian LORNET project. TELOS aims to provide an open operating system in which users can develop and use eLearning and know...
Gilbert Paquette, François Magnan
ICIP
2003
IEEE
14 years 10 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen