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UAI
2004
13 years 11 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
MRCO
2005
Springer
14 years 3 months ago
Using Activity Theory to Model Context Awareness
Abstract. One of the cornerstones of any intelligent entity is the ability to understand how occurrences in the surrounding world influence its own behaviour. Different states, o...
Anders Kofod-Petersen, Jörg Cassens
ECIR
2008
Springer
13 years 11 months ago
Video Corpus Annotation Using Active Learning
Concept indexing in multimedia libraries is very useful for users searching and browsing but it is a very challenging research problem as well. Beyond the systems' implementat...
Stéphane Ayache, Georges Quénot
ALT
2010
Springer
13 years 11 months ago
Bayesian Active Learning Using Arbitrary Binary Valued Queries
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
Liu Yang, Steve Hanneke, Jaime G. Carbonell
ICRA
2008
IEEE
400views Robotics» more  ICRA 2008»
14 years 4 months ago
Navigation of an omni-directional mobile robot with active caster wheels
—This work deals with navigation of an omni-directional mobile robot with active caster wheels. Initially, the posture of the omni-directional mobile robot is calculated by using...
Eui-Jung Jung, Ho Yul Lee, Jae Hoon Lee, Byung-Ju ...