The purpose of a classification learning algorithm is to accurately and efficiently map an input instance to an output class label, according to a set of labeled instances. Decision tree is such a method that most widely used and practical for inductive inference in the data mining and machine learning discipline (Han & Kamber, 2000). However, many decision tree learning algorithms degrade thei...

The rapid development of DNA microarray technology enables researchers to measure the expression levels of thousands of genes simultaneously and allows biologists easily gain insight into the complex interaction in tumours on gene expression levels. Its application in cancer studies has been shown great success in both diagnosis and elucidating the pathological mechanism. However, DNA microarra...

Mass spectrometry is an emerging technique that is continuously gaining momentum among bioinformatics researchers who intend to study biological or chemical properties of complex structures such as protein sequences. This advancement also embarks in the discovery of proteomic biomarkers through accessible body fluids such as serum, saliva, and urine. Recently, literature reveals that sophistica...

Wavefronts can be accurately estimated directly from either focal plane images or defocused pupil plane images, in schemes similar to phase diversity. These wavefront sensing techniques offers fundamental advantages over more traditional techniques for high contrast Adaptive Optics. When combined with a high performance coronagraph, these techniques enable efficient detection of exoplanets. 1. ...

We have been able to trace 40 cases of classical Friedreich's disease from 14 previously unrelated French Canadian kindreds to one common ancestral couple arriving in New France in 1634: Jean Guyon and Mathurine Robin. One member of this couple presumably introduced one gene for Friedreich's disease into the French Canadian population. This gene has now been traced over 12 generations to both p...

In this paper, a new unsupervised learning algorithm, namely Nonnegative Discriminative Feature Selection (NDFS), is proposed. To exploit the discriminative information in unsupervised scenarios, we perform spectral clustering to learn the cluster labels of the input samples, during which the feature selection is performed simultaneously. The joint learning of the cluster labels and feature sel...

Address for Correspondence: Dr. Sudakshina Chakrabarti, Assistant Professor, Department of Anatomy, Saveetha Medical College, Chennai, Tamilnadu, India. E-Mail: [email protected] Introduction: Nerves supplying the hand are notoriously variable in their divisions and their course; do not follow any standard pattern. The palmar aspect of hand is supplied by median and ulnar nerve. The clinical ...

I use a combination of blind and non-blind test scores to show that middle school teachers favor girls when they grade. This favoritism, estimated in the form of individual teacher effects, has long-term consequences: as measured by their national evaluations three years later, male students make less progress than their female counterparts. Gender-biased grading accounts for 21 percent of boys...

This research explores machine learning methods for the development of computer models that use gene expression data to distinguish between tumor and non-tumor, between metastatic and non-metastatic, and between histological subtypes of lung cancer. A second goal is to identify small sets of gene predictors and study their properties in terms of stability, size, and relation to lung cancer. We ...

-An interesting duality between two formally related schemes for neural associative memory is exploited to shape the attraction basins of stored memories. Considered are a family of spectral algorithms--based on specifying the spectrum of the matrix of weights as a Junction of the memories to be stored--and a class of dual spectral algorithms--based on manipulations of the orthogonal subspace o...