Presented here is a list, by no means e x h a u s t i ve, of re s o u rces for teaching and learning. Other re s o u rc e s a re on campus, including those in the learning re s o u rce center, multimedia lab, computer center, information technology lab, library, graphics department, and center for teaching and learning. Get a listing of educational publishers from the b o o k s t o re manager, ...

The increasing advance of mobile devices and wireless technologies has generated great interest in ubiquitous learning (u-learning) among academia, practitioners, and policy makers. However, design elements that incorporate learning styles and learning strategies into u-learning system applications in English as a Foreign Language (EFL) education are still limited. There are two objectives in t...

INTRODUCTION Point-of-care ultrasound (POCUS) is a novel technique for the assessment of jugular venous pressure. Distance education may allow for efficient dissemination of this technique. We compared online learning to a live course for teaching ultrasonography jugular venous pressure (u-JVP) to determine if these teaching methods yielded different levels of comfort with and use of u-JVP. M...

This paper discusses recent developments for pattern recognition focusing on boosting approach in machine learning. The statistical properties such as Bayes risk consistency for several loss functions are discussed in a probabilistic framework. There are a number of loss functions proposed for different purposes and targets. A unified derivation is given by a generator function U which naturall...

Automated inductive learning is a vital part of machine intelligence and the design of intelligent agents. A useful formalization of inductive learning is the model of PAC-learnability. Nevertheless, the ability to learn every target concept expressible in a given representation, as required in the PAC-learnability model, is highly demanding and leads to many negative results for interesting co...

An application of reinforcement learning to a linear-quadratic, differential game is presented. The reinforcement learning system uses a recently developed algorithm, the residual gradient form of advantage updating. The game is a Markov Decision Process (MDP) with continuous time, states, and actions, linear dynamics, and a quadratic cost function. The game consists of two players, a missile a...

Adam Albright (MIT) Well-formedness across the word: Modeling markedness interactions 9:30-10 Vsevolod Kapatsinski (U. Oregon) Humans and models learning palatalization patterns in miniature artificial languages: In support of particular salience of typical product characteristics 10-10:30 Jeff Heinz (U. Delaware) Learning gradient long-distance phonotactics by estimating strictly piecewise dis...