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» Classifier Selection Based on Data Complexity Measures
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CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
14 years 5 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...
SIGCSE
2003
ACM
137views Education» more  SIGCSE 2003»
15 years 3 months ago
Measuring the effectiveness of robots in teaching computer science
We report the results of a year-long experiment in the use of robots to teach computer science. Our data set compares results from over 800 students on identical tests from both r...
Barry S. Fagin, Laurence D. Merkle
MICCAI
2010
Springer
14 years 8 months ago
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
Recent advances in diffusion weighted MR imaging (dMRI) has made it a tool of choice for investigating white matter abnormalities of the brain and central nervous system. In this w...
Yogesh Rathi, James G. Malcolm, Oleg V. Michailovi...
BMCBI
2006
140views more  BMCBI 2006»
14 years 10 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
NECO
2002
78views more  NECO 2002»
14 years 9 months ago
Local Overfitting Control via Leverages
We present a novel approach to dealing with overfitting in black-box models. It is based on the leverages of the samples, i.e. on the influence that each observation has on the pa...
Gaétan Monari, Gérard Dreyfus