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CVPR
2009
IEEE
16 years 5 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
63
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WWW
2001
ACM
15 years 10 months ago
Online Learning in Hong Kong: A Preliminary Comparison of the Lecture and Online Versions of a Computing Fundamentals Course
This case study compares students' learning experience and outcomes in the lecture and online versions of a first-year introductory computing course offered at the Department...
Giovanni B. Moneta, Synnöve Kekkonen-Moneta
STOC
2003
ACM
122views Algorithms» more  STOC 2003»
15 years 10 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
SIGCSE
2005
ACM
108views Education» more  SIGCSE 2005»
15 years 3 months ago
Teaching and learning ethics in computer science: walking the walk
The author shares techniques used in a successful "Ethics and Professionalism" class at California State University, San Bernardino. The author describes active learning...
Richard J. Botting
ACSC
2003
IEEE
15 years 3 months ago
A Web Based Environment for Learning to Program
The purpose of this paper is to describe in detail the current development status of the innovative Environment for Learning to Program (ELP) which provides an interactive web-bas...
Nghi Truong, Peter Bancroft, Paul Roe