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IPPS
2008
IEEE
16 years 24 days ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
DIS
2010
Springer
15 years 5 months ago
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
Ulrich Rückert, Tobias Girschick, Fabian Buch...
ICML
2009
IEEE
16 years 7 months ago
Domain adaptation from multiple sources via auxiliary classifiers
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 8 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
AH
2006
Springer
16 years 12 days ago
Addictive Links: The Motivational Value of Adaptive Link Annotation in Educational Hypermedia
Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help...
Peter Brusilovsky, Sergey A. Sosnovsky, Michael Yu...