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» Building Relational World Models for Reinforcement Learning
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AAAI
2010
13 years 9 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
ECOOP
2011
Springer
12 years 7 months ago
Frequency Estimation of Virtual Call Targets for Object-Oriented Programs
Abstract. The information of execution frequencies of virtual call targets is valuable for program analyses and optimizations of object-oriented programs. However, to obtain this i...
Cheng Zhang, Hao Xu, Sai Zhang, Jianjun Zhao, Yuti...
TCSV
2002
107views more  TCSV 2002»
13 years 7 months ago
Design, performance analysis, and implementation of a super-scalar video-on-demand system
Despite the availability of video-on-demand (VoD) services in a number of cities around the world, large-scale deployment of VoD services in a metropolitan area is still economical...
Jack Y. B. Lee, C. H. Lee
CHI
2011
ACM
12 years 11 months ago
PhotoCity: training experts at large-scale image acquisition through a competitive game
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google’s Street View. Such imagery is extremely valuable i...
Kathleen Tuite, Noah Snavely, Dun-yu Hsiao, Nadine...
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
14 years 1 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen