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EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
15 years 11 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
ITCC
2003
IEEE
15 years 11 months ago
A Learning Objects Approach to Teaching Programming
The goal of this paper is to describe a new approach to a content creation and delivery mechanism for a programming course. This approach is based on the concept of creating a lar...
Victor Adamchik, Ananda Gunawardena
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 10 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
NIPS
1993
15 years 7 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
MICRO
2010
IEEE
175views Hardware» more  MICRO 2010»
15 years 4 months ago
Efficient Selection of Vector Instructions Using Dynamic Programming
Accelerating program performance via SIMD vector units is very common in modern processors, as evidenced by the use of SSE, MMX, VSE, and VSX SIMD instructions in multimedia, scien...
Rajkishore Barik, Jisheng Zhao, Vivek Sarkar