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NIPS
2007
15 years 4 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
UAI
1998
15 years 4 months ago
Structured Reachability Analysis for Markov Decision Processes
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
Craig Boutilier, Ronen I. Brafman, Christopher W. ...
AAAI
1996
15 years 4 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
TFCV
1994
15 years 4 months ago
Attentive Visual Motion Processing: Computations in the Log-Polar Plane
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a speci c task. Selection in space involves the splitting ...
Konstantinos Daniilidis
CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 3 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...