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ISBI
2007
IEEE
14 years 1 months ago
Dicovery of "biomarkers" for Alzheimer's Disease Prediction from Structural MR Images
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...
NIPS
2001
13 years 8 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
IJMMS
2002
108views more  IJMMS 2002»
13 years 7 months ago
Modelling multiple mind-matter interaction
Relations between mental and physical aspects of an agent can be of various types. Sensing and acting are among the more commonly modelled types. In agent modelling approaches ofte...
Catholijn M. Jonker, Jan Treur
ICPR
2010
IEEE
13 years 6 months ago
Boosting Alzheimer Disease Diagnosis Using PET Images
—Alzheimer’s disease (AD) final is one of the most frequent type of dementia. Currently there is no cure for AD and early diagnosis is crucial to the development of treatments...
Margarida Silveira, Jorge S. Marques
IUI
2009
ACM
14 years 4 months ago
Fixing the program my computer learned: barriers for end users, challenges for the machine
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Steph...