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NAACL
2007
13 years 11 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
CIG
2005
IEEE
14 years 3 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
DATE
2002
IEEE
86views Hardware» more  DATE 2002»
14 years 2 months ago
A Layered, Codesign Virtual Machine Approach to Modeling Computer Systems
By using a macro/micro state model we show how assumptions on the resolution of logical and physical timing of computation in computer systems has resulted in design methodologies...
JoAnn M. Paul, Donald E. Thomas
ICARIS
2009
Springer
14 years 4 months ago
On AIRS and Clonal Selection for Machine Learning
AIRS is an immune-inspired supervised learning algorithm that has been shown to perform competitively on some common datasets. Previous analysis of the algorithm consists almost ex...
Chris McEwan, Emma Hart
OOIS
1994
Springer
14 years 1 months ago
Problems, Descriptions and Objects
The business of software development is solving problems. Following Polya, we can increase our ability to solve problems by focusing directly on problems themselves, on their part...
Michael Jackson