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NAACL
2001
15 years 8 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
JFR
2006
108views more  JFR 2006»
15 years 6 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
233
Voted
IJVR
2006
166views more  IJVR 2006»
15 years 6 months ago
Multi-screen Tiled Displayed, Parallel Rendering System for a Large Terrain Dataset
Real time terrain rendering plays a very important role in many fields, such of GIS, virtual reality, and military simulations. With the rapid development of PC-level hardware, rec...
Ping Yin, Xiaohong Jiang, Jiaoying Shi, Ran Zhou
SIGMOD
2008
ACM
190views Database» more  SIGMOD 2008»
16 years 7 months ago
OLTP through the looking glass, and what we found there
Online Transaction Processing (OLTP) databases include a suite of features -- disk-resident B-trees and heap files, locking-based concurrency control, support for multi-threading ...
Stavros Harizopoulos, Daniel J. Abadi, Samuel Madd...
CASES
2005
ACM
15 years 8 months ago
Exploring the design space of LUT-based transparent accelerators
Instruction set customization accelerates the performance of applications by compressing the length of critical dependence paths and reducing the demands on processor resources. W...
Sami Yehia, Nathan Clark, Scott A. Mahlke, Kriszti...