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ICMLA
2003
13 years 9 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
CVIU
2010
130views more  CVIU 2010»
13 years 8 months ago
Discrete camera calibration from pixel streams
We consider the problem of estimating the relative orientation of a number of individual photocells -or pixels- that hold fixed relative positions. The photocells measure the inte...
Etienne Grossmann, José António Gasp...
DATAMINE
2006
117views more  DATAMINE 2006»
13 years 8 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
CORR
2011
Springer
181views Education» more  CORR 2011»
13 years 1 days ago
SmartInt: Using Mined Attribute Dependencies to Integrate Fragmented Web Databases
Many web databases can be seen as providing partial and overlapping information about entities in the world. To answer queries effectively, we need to integrate the information ab...
Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, ...
AAAI
2011
12 years 8 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird