Sciweavers

76 search results - page 10 / 16
» An Ensemble Approach for Incremental Learning in Nonstationa...
Sort
View
IJCNN
2007
IEEE
14 years 1 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
14 years 1 months ago
Incremental behavior acquisition based on reliability of observed behavior recognition
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
Tomoki Nishi, Yasutake Takahashi, Minoru Asada
MCS
2002
Springer
13 years 7 months ago
Distributed Pasting of Small Votes
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
14 years 2 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
ATAL
2006
Springer
13 years 11 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer