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» Information matrix for hidden Markov models with covariates
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80
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ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 5 months ago
Information-optimal selective data return for autonomous rover traverse science and survey
— Selective data return leverages onboard data analysis to allocate limited bandwidth resources during remote exploration. Here we present an adaptive method to subsample image s...
David R. Thompson, Trey Smith, David Wettergreen
CIBCB
2005
IEEE
15 years 1 months ago
Pathway Analyst--Automated Metabolic Pathway Prediction
—Metabolic pathways are crucial to our understanding of biology. The speed at which new organisms are being sequenced is outstripping our ability to experimentally determine thei...
Luca Pireddu, Brett Poulin, Duane Szafron, Paul Lu...
JMLR
2002
133views more  JMLR 2002»
14 years 10 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
86
Voted
KES
2008
Springer
14 years 9 months ago
Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations
Abstract. Motivation: Although studies have shown that genetic alterations are causally involved in numerous human diseases, still not much is known about the molecular mechanisms ...
Anneleen Daemen, Olivier Gevaert, Karin Leunen, Va...
ICASSP
2009
IEEE
15 years 5 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...