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» Modeling Problem Transformations based on Data Complexity
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ESANN
2003
15 years 8 months ago
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
Cédric Archambeau, John Aldo Lee, Michel Ve...
PVLDB
2008
160views more  PVLDB 2008»
15 years 6 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
JDM
2000
128views more  JDM 2000»
15 years 6 months ago
Distributed Database Design for Mobile Geographical Applications
Advanced Traveler Information Systems (ATIS) require e cient information retrieval and updating in a dynamic environment at di erent geographical scales. ATIS applications are use...
Manhoi Choy, Mei-Po Kwan, Hong Va Leong
IAT
2005
IEEE
16 years 21 days ago
An Approximate Pareto Optimal Cooperative Negotiation Model for Multiple
Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-o...
Nicola Gatti, Francesco Amigoni
NIPS
2008
15 years 8 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah