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» A Simple Abstraction for Data Modeling
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UM
2010
Springer
15 years 9 months ago
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
David G. Cooper, Kasia Muldner, Ivon Arroyo, Bever...
ICML
2007
IEEE
16 years 6 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
RECOMB
2006
Springer
16 years 5 months ago
Predicting Experimental Quantities in Protein Folding Kinetics Using Stochastic Roadmap Simulation
Abstract. This paper presents a new method for studying protein folding kinetics. It uses the recently introduced Stochastic Roadmap Simulation (SRS) method to estimate the transit...
Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L...
JCB
1998
105views more  JCB 1998»
15 years 5 months ago
Constructing and Counting Phylogenetic Invariants
Abstract. The method of invariants is an approach to the problem of reconstructing the phylogenetic tree of a collection of m taxa using nucleotide sequence data. Models for the re...
Steven N. Evans, Xiaowen Zhou
ICONIP
2007
15 years 7 months ago
Solar Radiation Data Modeling with a Novel Surface Fitting Approach
Abstract. In this work one year hourly solar radiation data are analyzed and modeled. Using a 2-D surface fitting approach, a novel model is developed for the general behavior of ...
Fatih Onur Hocaoglu, Ömer Nezih Gerek, Mehmet...