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» Measuring Complexity of Intelligent Machines
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ECAL
1999
Springer
15 years 2 months ago
A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity
We use a new general-purpose model of neutral evolution of genotypes to make quantitative comparisons of diversity and adaptive evolutionary activity as a function of mutation rate...
Andreas Rechtsteiner, Mark A. Bedau
JMLR
2011
111views more  JMLR 2011»
14 years 4 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
ASSETS
2009
ACM
15 years 4 months ago
Comparing evaluation techniques for text readability software for adults with intellectual disabilities
In this paper, we compare alternative techniques for evaluating a software system for simplifying the readability of texts for adults with mild intellectual disabilities (ID). We ...
Matt Huenerfauth, Lijun Feng, Noemie Elhadad
AAAI
2012
13 years 2 days ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz