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» Hedging predictions in machine learning
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84
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ICPR
2010
IEEE
14 years 10 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
CIKM
2010
Springer
14 years 8 months ago
Selectively diversifying web search results
Search result diversification is a natural approach for tackling ambiguous queries. Nevertheless, not all queries are equally ambiguous, and hence different queries could bene...
Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
EDM
2009
153views Data Mining» more  EDM 2009»
14 years 8 months ago
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
Vasile Rus, Mihai C. Lintean, Roger Azevedo
104
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ICASSP
2011
IEEE
14 years 1 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
BMCBI
2008
94views more  BMCBI 2008»
14 years 10 months ago
Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles
Background: Malaria parasite secretes various proteins in infected RBC for its growth and survival. Thus identification of these secretory proteins is important for developing vac...
Ruchi Verma, Ajit Tiwari, Sukhwinder Kaur, Grish C...