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NN
2008
Springer
152views Neural Networks» more  NN 2008»
14 years 11 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
ENTCS
2008
120views more  ENTCS 2008»
14 years 11 months ago
Specifying and Executing Reactive Scenarios With Lutin
This paper presents the language Lutin and its operational semantics. This language specifically targets the domain of reactive systems, where an execution is a (virtually) infini...
Pascal Raymond, Yvan Roux, Erwan Jahier
IJCV
2007
363views more  IJCV 2007»
14 years 11 months ago
Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion
Abstract. Inspired by the early visual system of many mammalians we consider the construction of-and reconstruction from- an orientation score Uf : R2 ×S1 → C as a local orienta...
Remco Duits, Michael Felsberg, Gösta H. Granl...
BMCBI
2004
133views more  BMCBI 2004»
14 years 11 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
AAAI
2006
15 years 1 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir