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ISNN
2011
Springer
14 years 17 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ICMLA
2007
14 years 11 months ago
Estimating class probabilities in random forests
For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in e...
Henrik Boström
89
Voted
ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
15 years 4 months ago
A Strategy for Vision-Based Controlled Pushing of Microparticles
— In this paper, a strategy for controlled pushing is presented for microassembly of 4.5 μm polystyrene particles on a flat glass substrate using an atomic force microscope prob...
Nicholas A. Lynch, Cagdas D. Onal, Eugenio Schuste...
RECOMB
2004
Springer
15 years 10 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
ICADL
2010
Springer
160views Education» more  ICADL 2010»
15 years 2 months ago
Thesaurus Extension Using Web Search Engines
Maintaining and extending large thesauri is an important challenge facing digital libraries and IT businesses alike. In this paper we describe a method building on and extending ex...
Robert Meusel, Mathias Niepert, Kai Eckert, Heiner...