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CEC
2011
IEEE
13 years 9 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
94
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BMCBI
2008
153views more  BMCBI 2008»
14 years 9 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
CORR
2007
Springer
135views Education» more  CORR 2007»
14 years 9 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
ICIP
2002
IEEE
15 years 11 months ago
A MAP IIR filter for 3D ultrasound
Bayesian reconstruction methods are slow and have been avoided in 3D ultrasound, since fast algorithms are required. This paper tries to overcome this difficulty by presenting a f...
João M. Sanches, Jorge S. Marques
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
15 years 10 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker