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AAAI
2000
15 years 1 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
ML
2006
ACM
14 years 11 months ago
XRules: An effective algorithm for structural classification of XML data
Abstract XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining ...
Mohammed Javeed Zaki, Charu C. Aggarwal
ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 11 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
AIEDAM
1998
87views more  AIEDAM 1998»
14 years 11 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
ICST
2009
IEEE
14 years 9 months ago
Proving Functional Equivalence of Two AES Implementations Using Bounded Model Checking
Bounded model checking--as well as symbolic equivalence checking--are highly successful techniques in the hardware domain. Recently, bit-vector bounded model checkers like CBMC ha...
Hendrik Post, Carsten Sinz