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» An empirical study of machine learning techniques for affect...
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PAA
2006
13 years 4 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
BIOID
2008
110views Biometrics» more  BIOID 2008»
13 years 6 months ago
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
Marjory C. C. Abreu, Michael C. Fairhurst
ITS
2010
Springer
148views Multimedia» more  ITS 2010»
13 years 9 months ago
Developing Empirically Based Student Personality Profiles for Affective Feedback Models
The impact of affect on learning has been the subject of increasing attention. Because of the differential effects of students’ affective states on learning outcomes, there is a ...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
ECTEL
2010
Springer
13 years 5 months ago
Content, Social, and Metacognitive Statements: An Empirical Study Comparing Human-Human and Human-Computer Tutorial Dialogue
Abstract. We present a study which compares human-human computermediated tutoring with two computer tutoring systems based on the same materials but differing in the type of feedba...
Myroslava Dzikovska, Natalie B. Steinhauser, Johan...
BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy