Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

Using Machine Learning to Identify Intonational Segments

The intonational phrase is hypothesized to represent a meaningful unit of analysis in spoken language interpretation. We present results on the identification of intonational phrase boundaries from acoustic features using classification and regression trees (CART). Our training and test data are taken from the Boston Directions Corpus (task-oriented monologue) and the HUB-IV Broadcast News data...

A machine - learning approach to identify hydrogenosomal proteins in 1

Introduction to Machine Learning: Class Notes 67577

Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).

Use of Machine Learning in Bioinformatics to Identify Prognostic and Predictive Molecular Signatures in Human Breast Cancer

B Microarray Platforms 77 C Probeset Annotations 78 D Gene Ontology 86 Bibliography 87 iii Acknowledgments I would like to thank so many people that it is impossible to find any order for their respective contributions. Let's start : G. Bontempi who followed me since my licence in computer science and initiated the collaboration with Christos Sotiriou. His help was invaluable for my research an...

New Scheme to Identify Intrusion Outliers by Machine Learning Technique

In network administration, computers and network systems need to be protected against malicious attacks. The success of an intrusion detection system depends on the selection of the appropriate features in detecting the intrusion activity. The selection of unnecessary features may cause computational issues and reduce the accuracy of detection. In the existing work, a novel detection approach i...