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DMIN
2008
190views Data Mining» more  DMIN 2008»
13 years 10 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
CICLING
2010
Springer
13 years 11 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...
ICML
2010
IEEE
13 years 9 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
HICSS
2007
IEEE
139views Biometrics» more  HICSS 2007»
14 years 2 months ago
Experiences of Using Pair Programming in an Agile Project
The interest in pair programming (PP) has increased recently, e.g. by the popularization of agile software development. However, many practicalities of PP are poorly understood. W...
Jari Vanhanen, Harri Korpi
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
14 years 2 months ago
Simulation framework for training chest tube insertion using virtual reality and force feedback
—Most virtual reality simulators are designed for complex medical procedures, such as laparoscopic surgery. While important, these simulators are of use for only a subset of spec...
Nader S. Raja, John A. Schleser, William P. Norman...