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DATE
2009
IEEE
95views Hardware» more  DATE 2009»
14 years 3 months ago
Machine learning-based volume diagnosis
In this paper, a novel diagnosis method is proposed. The proposed technique uses machine learning techniques instead of traditional cause-effect and/or effect-cause analysis. The ...
Seongmoon Wang, Wenlong Wei
AIED
2009
Springer
14 years 3 months ago
Student Knowledge Diagnosis Using Item Response Theory and Constraint-Based Modeling
One of the most popular student modeling techniques currently available is Constraint Based Modeling (CBM), which is based on Ohlsson's theory of learning from performance err...
Jaime Gálvez, Eduardo Guzmán, Ricard...
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 2 months ago
Online Affect Detection and Adaptation in Robot Assisted Rehabilitation for Children with Autism
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
IROS
2006
IEEE
146views Robotics» more  IROS 2006»
14 years 2 months ago
Adaptive Causal Models for Fault Diagnosis and Recovery in Multi-Robot Teams
— This paper presents an adaptive causal model method (adaptive CMM) for fault diagnosis and recovery in complex multi-robot teams. We claim that a causal model approach is effec...
Lynne E. Parker, Balajee Kannan
ICANN
2003
Springer
14 years 1 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho