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» The Complexity of Partition Functions
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PRL
2010
209views more  PRL 2010»
15 years 1 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel
SIAMCOMP
2010
88views more  SIAMCOMP 2010»
15 years 1 months ago
Hardness Amplification Proofs Require Majority
Hardness amplification is the fundamental task of converting a -hard function f : {0, 1}n {0, 1} into a (1/2 - )-hard function Amp(f), where f is -hard if small circuits fail to c...
Ronen Shaltiel, Emanuele Viola
ALT
2006
Springer
16 years 4 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
CIKM
2009
Springer
16 years 1 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
COCO
2004
Springer
82views Algorithms» more  COCO 2004»
16 years 14 days ago
Dimension, Entropy Rates, and Compression
This paper develops new relationships between resource-bounded dimension, entropy rates, and compression. New tools for calculating dimensions are given and used to improve previo...
John M. Hitchcock, N. V. Vinodchandran