In the previous lecture we reviewed the SVM learning algorithm, which when given a training sample S ∈ (X × {−1, 1}), selects a (linear or kernel-based) classifier hS : X→{−1, 1} that maximizes the margin on S, possibly with some errors. We know (by design) exactly what the algorithm does on the training sample, but how will it perform on future data, which is what we are really interested in? ...

With the significant growth in available electronic education materials such as syllabus documents and lecture notes on the Internet and intranets there is a need for developing efficient indexing/categorizing mechanisms to organize such E-documents in institutional repositories. In this paper we describe our approach for automatic classification of syllabus documents in the national Irish syll...

This lecture summary discusses the foundations on which PAC Learning, a machine learning model, is based on. This model focuses on inductively learning an unknown target function, given only training examples of this target function and a space of candidate hypotheses. The questions that we will concern are how many training examples are sufficient to successfully learn the target function, and...

The paper addresses a scheme of lightly supervised training of an acoustic model, which exploits a large amount of data with closed caption texts but not faithful transcripts. In the proposed scheme, a sequence of the closed caption text and that of the ASR hypothesis by the baseline system are aligned. Then, a set of dedicated classifiers is designed and trained to select the correct one among...

background. for several years, educators have criticized the lecture-based approach to teaching and learning. experts have rightly stressed on acquisition of a number of critical skills rather than focusing on lectures. purpose. to compare students’ performance after self-education with vcd and manikin, with thei performance after standard bls training. methods. in this randomized controlled st...

The Eumorphia Summer School / EMBO Lecture Course (ESS/ELC) will be a highlyinteractive lecture course with as its primary mission the training and education ofscientists for the use of mouse models of human disease. This summer school willprovide a solid theoretical basis that students and fellows will need forexperimentation in the area of mouse functional genomics. The ESS/EL...