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» Learning Functions from Imperfect Positive Data
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AAAI
2000
13 years 11 months ago
Learning the Common Structure of Data
The proliferation of online information sources has accentuated the need for tools that automatically validate and recognize data. We present an efficient algorithm that learns st...
Kristina Lerman, Steven Minton
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 4 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
COLT
1992
Springer
14 years 2 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
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 10 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
IPMI
2011
Springer
13 years 1 months ago
Learning an Atlas of a Cognitive Process in Its Functional Geometry
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei...