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154
Voted
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 6 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
152
Voted
KDD
2012
ACM
188views Data Mining» more  KDD 2012»
13 years 6 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
136
Voted
COLT
2007
Springer
15 years 10 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
122
Voted
WMTE
2008
IEEE
15 years 10 months ago
PALLAS: Personalised Language Learning on Mobile Devices
Mobile and ubiquitous learning facilitates language learners to continue their learning process outside the formal classroom, when and where they desire. While more and more learn...
Sobah Abbas Petersen, Jan-Kristian Markiewicz
ICALT
2005
IEEE
15 years 9 months ago
MALESAbrain for Problem-Based Learning in IT Education
This paper reports MALESAbrain an intelligent online tool for problem-based learning (PBL) in IT education. The learning model of MALESAbrain is built on the notions of threshold ...
Akcell Chiang, Mohd Sapiyan Baba