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JMLR
2012
13 years 6 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
141
Voted
JMLR
2012
13 years 6 months ago
UPAL: Unbiased Pool Based Active Learning
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
Ravi Ganti, Alexander Gray
SIGCSE
2005
ACM
123views Education» more  SIGCSE 2005»
15 years 9 months ago
Taming Java for the classroom
Java is the canonical language for teaching introductory programming, but its complex syntax and abundance of constructs are difficult for beginners to learn. This paper shows how...
James I. Hsia, Elspeth Simpson, Daniel Smith, Robe...
DEBS
2007
ACM
15 years 7 months ago
Software architecture using fine-grained event-driven reactive components
In this paper, we describe design motivations and experience with a visual language that treats the architecture of a reactive system as a composition of small, asynchronous softw...
Paul Tarvydas, Norm Sanford
123
Voted
NAACL
2007
15 years 5 months ago
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
This paper explores the use of statistical machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to...
Yuk Wah Wong, Raymond J. Mooney