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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
136
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WOWMOM
2000
ACM
96views Multimedia» more  WOWMOM 2000»
15 years 6 months ago
An integrated mobility and traffic model for resource allocation in wireless networks
In a wireless communications network, the movement of mobile users presents significant technical challenges to providing efficient access to the wired broadband network. In this ...
Hisashi Kobayashi, Shun-Zheng Yu, Brian L. Mark
89
Voted
ACL
2009
15 years 4 days ago
ProLiV - a Tool for Teaching by Viewing Computational Linguistics
ProLiV - Animated Process-modeler of Complex (Computational) Linguistic Methods and Theories - is a fully modular, flexible, XML-based stand-alone Java application, used for compu...
Monica Gavrila, Cristina Vertan
126
Voted
MMS
2006
15 years 2 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
146
Voted
PRICAI
2000
Springer
15 years 5 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst