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Researchers at the New Jersey Institute of Technology and the Children's Hospital of Philadelphia have developed an algorithm through machine learning that helps predict sites of DNA methyla...
Scientists at the University of California, Irvine have developed a new technique for predicting the final size of a wildfire from the moment of ignition.Built around a machine learning algorithm, the...
All submitted conference papers will be blind peer reviewed by three competent reviewers. After a careful reviewing process, all accepted papers after proper registration and presentation, will be pub...
Technology and education have wandered many separate but rarely intersecting paths throughout the 20th Century. In the 21st Century, the convergence of cost effective computing and networking products...
The recent trend towards open data and open science as well as a demand for holistic and interdisciplinary research requires platforms that allow the distribution and exchange of research data, includ...
We formalize the problem of program verification as a learning problem, showing that invariants in program verification can be regarded as geometric concepts in machine learning. Safety properties de-...
The greedy algorithm is extensively studied in the field of combinatorial optimiza-tion for decades. In this paper, we address the online learning problem when the input to the greedy algorithm is sto...
We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets.Specifically, the model to be learned, ϑ, is a probability dis-tribution over ...
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cognitive state. We consid...
How does task completion time change with practice and what processes underlie this change? Despite over 100 years of scientific research (e.g., Bryan & Harter, 1899) no wholly satisfactory answer has...
This presentation will showcase the various approaches taken in online courses and in one-on-one interactions to enhance student learning and provide students with the opportunity for collaboration an...
This presentation will illustrate how a microfinance project in Mexico is providing international service learning opportunities in online courses and outside the classroom. It will also demonstrate t...
This engaging session will feature four faculty members from one school who have incorporated a number of pedagogical and technological approaches into their courses to encourage creativity in their s...
GREAT Expectations stands for Group work, Reflection, Evaluation of self and peers, Application of course content to real-world problems and Testing (pre- and post-testing). It encompasses all of the ...
Many machine learning problems involve dealing with a large amount of high-dimensional data across diverse domains. In addition, annotating or labeling the data is expensive as it involves significant...

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