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» Modeling Problem Transformations based on Data Complexity
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SPEECH
1998
118views more  SPEECH 1998»
15 years 6 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
APSCC
2010
IEEE
15 years 5 months ago
Personalized Modeling for SaaS Based on Extended WSCL
Software as a service (SaaS) is an emerging software framework in which business data and logic typically integrate with other applications. It requires a unified subscriber to des...
Liu Ying, Zhang Bin, Liu Guoqi, Wang Deshuai, Gao ...
IJAR
2010
152views more  IJAR 2010»
15 years 5 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
SCP
1998
113views more  SCP 1998»
15 years 6 months ago
Linear-Time Hierarchies for a Functional Language Machine Model
In STOC 93, Jones sketched the existence of a hierarchy within problems decidable in linear time by a first-order functional language based on tree-structured data (F), as well a...
Eva Rose
197
Voted
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
16 years 1 months ago
A hybrid GA for a supply chain production planning problem
The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single ...
Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri