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PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
14 years 3 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ICRA
2010
IEEE
96views Robotics» more  ICRA 2010»
13 years 8 months ago
Towards dynamic team formation for robot ensembles
Abstract— We present an investigation of dynamic team formation strategies for robot ensembles performing a collection of nd two-robot tasks. Specifically, we consider the abstr...
T. William Mather, M. Ani Hsieh, Emilio Frazzoli
NIPS
2001
13 years 11 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
CICLING
2010
Springer
14 years 1 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 10 months ago
Topics in 0--1 data
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Ella Bingham, Heikki Mannila, Jouni K. Seppän...