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» Making inferences with small numbers of training sets
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IJCAI
1989
15 years 27 days ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
WWW
2006
ACM
16 years 12 days ago
Browsing on small screens: recasting web-page segmentation into an efficient machine learning framework
Fitting enough information from webpages to make browsing on small screens compelling is a challenging task. One approach is to present the user with a thumbnail image of the full...
Shumeet Baluja
ICRA
2008
IEEE
138views Robotics» more  ICRA 2008»
15 years 6 months ago
Embedded auditory system for small mobile robots
— Auditory capabilities would allow small robots interacting with people to act according to vocal cues. In our recent work, we have demonstrated AUDIBLE, an auditory system capa...
Simon Brière, Jean-Marc Valin, Franç...
QSIC
2003
IEEE
15 years 5 months ago
Generating Small Combinatorial Test Suites to Cover Input-Output Relationships
In this paper, we consider a problem that arises in black box testing: generating small test suites (i.e., sets of test cases) where the combinations that have to be covered are s...
Christine Cheng, Adrian Dumitrescu, Patrick J. Sch...
MLDM
2009
Springer
15 years 6 months ago
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
A number of two-class classification methods first discretize each attribute of two given training sets and then construct a propositional DNF formula that evaluates to True for ...
Klaus Truemper