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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 3 months ago
Active Guidance for a Finless Rocket Using Neuroevolution
Finless rockets are more efficient than finned designs, but are too unstable to fly unassisted. These rockets require an active guidance system to control their orientation durin...
Faustino J. Gomez, Risto Miikkulainen
IJCNN
2006
IEEE
15 years 3 months ago
Reinforcement Learning for Parameterized Motor Primitives
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
Jan Peters, Stefan Schaal
PAMI
2002
150views more  PAMI 2002»
14 years 9 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
CC
2006
Springer
124views System Software» more  CC 2006»
15 years 1 months ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava