Sciweavers

129 search results - page 5 / 26
» Learning DFA from Simple Examples
Sort
View
BMCBI
2008
114views more  BMCBI 2008»
14 years 9 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
126
Voted
CVPR
2003
IEEE
15 years 11 months ago
Learning epipolar geometry from image sequences
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem which does not require a parametr...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
79
Voted
SODA
2001
ACM
147views Algorithms» more  SODA 2001»
14 years 11 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
77
Voted
KBS
1998
122views more  KBS 1998»
14 years 9 months ago
Concept formation in design
: This paper presents a computationally tractable view on where simple design concepts come from by proposing a paradigm for the formation of design concepts based on the emergence...
John S. Gero
CORR
2011
Springer
147views Education» more  CORR 2011»
14 years 4 months ago
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Ridwan Al Iqbal