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» Representing preferences using intervals
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ICML
2005
IEEE
14 years 8 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
ICASSP
2008
IEEE
14 years 2 months ago
Music preference learning with partial information
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
CCGRID
2009
IEEE
14 years 2 months ago
Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data
Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The comp...
Lucas Mello Schnorr, Guillaume Huard, Philippe Oli...
VLDB
1994
ACM
91views Database» more  VLDB 1994»
13 years 11 months ago
On Spatially Partitioned Temporal Join
This paper presents an innovative partitionbased time join strategy for temporal databases where time is represented by time intervals. The proposed method maps time intervals to ...
Hongjun Lu, Beng Chin Ooi, Kian-Lee Tan
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 8 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima