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» Capturing the Intention of Model Changes
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Publication
233views
14 years 13 days ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
137
Voted
CVPR
2012
IEEE
13 years 4 months ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox
AGENTS
1998
Springer
15 years 6 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ISORC
2003
IEEE
15 years 7 months ago
Probabilistic Simulation-Based Analysis of Complex Real-Time Systems
Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by ...
Anders Wall, Johan Andersson, Christer Norströ...
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
16 years 2 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani