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» Universal Reinforcement Learning
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135
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STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 5 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
119
Voted
SIGCSE
2005
ACM
108views Education» more  SIGCSE 2005»
15 years 10 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
133
Voted
ACSC
2003
IEEE
15 years 10 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
ICALT
2003
IEEE
15 years 10 months ago
Online Self-Assessment as a Learning Method
Algorithms and Programming Languages is a core subject in the BS Degree in Mathematics at the authors’ university. Some of the students are very interested in computer programmi...
Daniel Gayo-Avello, Hortensia Fernández-Cue...
124
Voted
CICLING
2010
Springer
15 years 8 months ago
Identification of Translationese: A Machine Learning Approach
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Iustina Ilisei, Diana Inkpen, Gloria Corpas Pastor...