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» Approximate algorithms for neural-Bayesian approaches
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KDD
2001
ACM
203views Data Mining» more  KDD 2001»
15 years 10 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
CORR
2011
Springer
243views Education» more  CORR 2011»
14 years 5 months ago
Deterministic Network Model Revisited: An Algebraic Network Coding Approach
Abstract—The capacity of multiuser networks has been a longstanding problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to appr...
MinJi Kim, Elona Erez, Edmund M. Yeh, Muriel M&eac...
DCC
2006
IEEE
15 years 9 months ago
Making the Correct Mistakes
We propose a new sequential, adaptive, quadratic-time algorithm for variable-rate lossy compression of memoryless sources at a fixed distortion. The algorithm uses approximate pat...
Dharmendra S. Modha, Narayana P. Santhanam
ICALP
2004
Springer
15 years 3 months ago
The Power of Verification for One-Parameter Agents
We initiate the study of mechanisms with verification for one-parameter agents. We give an algorithmic characterization of such mechanisms and show that they are provably better ...
Vincenzo Auletta, Roberto De Prisco, Paolo Penna, ...
AAAI
2008
15 years 8 days ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...