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» Embedding Heterogeneous Data Using Statistical Models
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119
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CORR
2010
Springer
123views Education» more  CORR 2010»
15 years 1 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
16 years 3 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...
122
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NIPS
2008
15 years 4 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
ESCIENCE
2006
IEEE
15 years 9 months ago
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...
133
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CSIE
2009
IEEE
15 years 7 months ago
An Efficient Mixed-Mode Execution Environment for C on Mobile Phone Platforms
Mobile devices are constrained in terms of computational power, battery lifetime and memory sizes. Software development for mobile devices is further complicated by application co...
Taekhoon Kim, Sungho Kim, Kirak Hong, Hwangho Kim,...