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NIPS
2007
15 years 8 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
DEXAW
2004
IEEE
209views Database» more  DEXAW 2004»
15 years 10 months ago
Spatio-Temporal Data Warehouse Design for Human Activity Pattern Analysis
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (nu...
Lionel Savary, Tao Wan, Karine Zeitouni
CHI
2009
ACM
16 years 7 months ago
Reflections of everyday activities in spending data
In this paper we show that financial information can be used to sense many aspects of human activity. This simple technique gives people information about their daily lives, is ea...
Julia Schwarz, Jennifer Mankoff, H. Scott Matthews
SAINT
2005
IEEE
16 years 8 days ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
16 years 8 months ago
Programming Patterns for Architecture-Level Software Optimizations on Frequent Pattern Mining
One very important application in the data mining domain is frequent pattern mining. Various authors have worked on improving the efficiency of this computation, mostly focusing o...
Mingliang Wei, Changhao Jiang, Marc Snir