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ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
16 years 1 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
BIOWIRE
2007
Springer
16 years 26 days ago
Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models
Epidemics-inspired techniques have received huge attention in recent years from the distributed systems and networking communities. These algorithms and protocols rely on probabili...
Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 25 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
MM
2005
ACM
243views Multimedia» more  MM 2005»
16 years 7 days ago
Image region entropy: a measure of "visualness" of web images associated with one concept
We propose a new method to measure “visualness” of concepts, that is, what extent concepts have visual characteristics. To know which concept has visually discriminative power...
Keiji Yanai, Kobus Barnard
SMA
2005
ACM
109views Solid Modeling» more  SMA 2005»
16 years 7 days ago
Numerical decomposition of geometric constraints
Geometric constraint solving is a key issue in CAD/CAM. Since Owen’s seminal paper, solvers typically use graph based decomposition methods. However, these methods become diffi...
Sebti Foufou, Dominique Michelucci, Jean-Paul Jurz...