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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
FCT
2009
Springer
16 years 18 days ago
Competitive Group Testing and Learning Hidden Vertex Covers with Minimum Adaptivity
Suppose that we are given a set of n elements d of which are “defective”. A group test can check for any subset, called a pool, whether it contains a defective. It is well know...
Peter Damaschke, Azam Sheikh Muhammad
MOBICOM
2004
ACM
15 years 11 months ago
Practical robust localization over large-scale 802.11 wireless networks
We demonstrate a system built using probabilistic techniques that allows for remarkably accurate localization across our entire office building using nothing more than the built-...
Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd,...
PPSN
1990
Springer
15 years 10 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
CBMS
2004
IEEE
15 years 9 months ago
Online Medical Teaching Case Database
Page >> Table of Contents >> Abstract 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04) p. 420 Online Medical Teaching Case Database Susan Kansagra, ...
Susan Kansagra, Chris Chang, Saleem Hussain, Grego...
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