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CI
2005
106views more  CI 2005»
15 years 4 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
ICML
2005
IEEE
16 years 5 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
ALT
1994
Springer
15 years 9 months ago
Program Synthesis in the Presence of Infinite Number of Inaccuracies
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Sanjay Jain
CVPR
2007
IEEE
16 years 6 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
FCCM
2008
IEEE
160views VLSI» more  FCCM 2008»
15 years 11 months ago
Facilitating Processor-Based DPR Systems for non-DPR Experts
Currently, only Xilinx Field Programmable Gate Arrays (FPGAs) support Dynamic Partial Reconfiguration (DPR). While there is currently some Computer Aided Design (CAD) tool support...
Edward Chen, William A. Gruver, Dorian Sabaz, Lesl...