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JMLR
2012
11 years 10 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
PADL
2012
Springer
12 years 3 months ago
LearnPADS + + : Incremental Inference of Ad Hoc Data Formats
An ad hoc data source is any semi-structured, non-standard data source. The format of such data sources is often evolving and frequently lacking documentation. Consequently, off-t...
Kenny Qili Zhu, Kathleen Fisher, David Walker
KES
2004
Springer
14 years 1 months ago
A Hybrid Learning Approach for TV Program Personalization
The rapid growth of communication technologies and the invention of set-top-box (STB) and personal digital recorder (PDR) have enabled today’s television to receive and store tre...
Zhiwen Yu, Xingshe Zhou, Zhiyi Yang
CEC
2010
IEEE
12 years 11 months ago
Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
Tony E. Lewis, George D. Magoulas
CAV
2012
Springer
243views Hardware» more  CAV 2012»
11 years 10 months ago
SPT: Storyboard Programming Tool
elor Thesis: Demand Driven Abstraction Refinement Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, May 2004 • Secured 97.6 % marks in...
Rishabh Singh, Armando Solar-Lezama