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ARTMED
1999
92views more  ARTMED 1999»
15 years 6 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
GEOINFORMATICA
1998
144views more  GEOINFORMATICA 1998»
15 years 6 months ago
Approximation-Based Similarity Search for 3-D Surface Segments
The issue of ®nding similar 3-D surface segments arises in many recent applications of spatial database systems, such as molecular biology, medical imaging, CAD, and geographic i...
Hans-Peter Kriegel, Thomas Seidl
INFSOF
1998
78views more  INFSOF 1998»
15 years 6 months ago
Program slices as an abstraction for cohesion measurement
Slices as an Abstraction for Cohesion Measurement Linda M. Ott Michigan Technological University James M. Bieman Colorado State University The basis for measuring many attributes ...
Linda M. Ott, James M. Bieman
JMLR
2002
106views more  JMLR 2002»
15 years 6 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
NPL
2002
110views more  NPL 2002»
15 years 6 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
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