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COLT
1999
Springer
15 years 10 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 10 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
143
Voted
FPGA
1997
ACM
145views FPGA» more  FPGA 1997»
15 years 10 months ago
Generation of Synthetic Sequential Benchmark Circuits
Programmable logic architectures increase in capacity before commercial circuits are designed for them, yielding a distinct problem for FPGA vendors: how to test and evaluate the ...
Michael D. Hutton, Jonathan Rose, Derek G. Corneil
169
Voted
COLT
1992
Springer
15 years 10 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
ECOOP
2007
Springer
15 years 10 months ago
Efficiently Generating Structurally Complex Inputs with Thousands of Objects
Abstract. We present Shekoosh, a novel framework for constraint-based generation of structurally complex inputs of large sizes. Given a Java predicate that represents the desired s...
Bassem Elkarablieh, Yehia Zayour, Sarfraz Khurshid