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» A distributed machine learning framework
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ML
2007
ACM
108views Machine Learning» more  ML 2007»
15 years 2 months ago
Unconditional lower bounds for learning intersections of halfspaces
We prove new lower bounds for learning intersections of halfspaces, one of the most important concept classes in computational learning theory. Our main result is that any statist...
Adam R. Klivans, Alexander A. Sherstov
110
Voted
ML
2008
ACM
115views Machine Learning» more  ML 2008»
15 years 2 months ago
Calling variadic functions from a strongly-typed language
The importance of providing a mechanism to call C functions from high-level languages has been understood for many years and, these days, almost all statically-typed high-level-la...
Matthias Blume, Mike Rainey, John H. Reppy
ICALT
2003
IEEE
15 years 8 months ago
An Intelligent Tutoring System Prototype for Learning to Program Java?
The “JavaTM Intelligent Tutoring System” (JITS) research project involves the development of a programming tutor designed for students in their first programming course in Jav...
Edward R. Sykes
ICML
2010
IEEE
15 years 4 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
PODC
2004
ACM
15 years 8 months ago
On the design of distributed protocols from differential equations
We propose a framework to translate certain subclasses of differential equation systems into distributed protocols that are practical. The synthesized protocols are state machine...
Indranil Gupta