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» Learning Relations Using Collocations
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JCP
2008
121views more  JCP 2008»
13 years 7 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi
JSW
2008
106views more  JSW 2008»
13 years 7 months ago
Factors that Significantly Impact the Implementation of an Agile Software Development Methodology
The Internet economy has altered the current rules of software engineering. Traditional development methodologies have proven too cumbersome to meet the rapidly changing requiremen...
Jeffrey A. Livermore
ICML
2010
IEEE
13 years 8 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
LREC
2010
156views Education» more  LREC 2010»
13 years 9 months ago
Studying Word Sketches for Russian
Without any doubt corpora are vital tools for linguistic studies and solution for applied tasks. Although corpora opportunities are very useful, there is a need of another kind of...
Maria Khokhlova, Victor Zakharov
ILP
2007
Springer
14 years 1 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen