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ICML
2006
IEEE
16 years 6 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
ISBI
2004
IEEE
16 years 6 months ago
Bone Model Morphing for Enhanced Surgical Visualization
We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visual...
Kumar T. Rajamani, Martin Styner, Sarang C. Joshi
149
Voted
STOC
2009
ACM
133views Algorithms» more  STOC 2009»
16 years 6 months ago
Near-perfect load balancing by randomized rounding
We consider and analyze a new algorithm for balancing indivisible loads on a distributed network with n processors. The aim is minimizing the discrepancy between the maximum and m...
Tobias Friedrich, Thomas Sauerwald
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
16 years 6 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...
VLDB
2007
ACM
137views Database» more  VLDB 2007»
16 years 6 months ago
Improving Data Quality: Consistency and Accuracy
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Sh...