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66
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EUSFLAT
2007
15 years 2 months ago
Using Quasiarithmetic Means in a Sequential Decision Procedure
We study in this paper the following sequential decision procedure. First, the members of a group show their opinions on all the members, regarding a specific attribute. Taking i...
Miguel A. Ballester, José Luis Garcí...
IJCAI
2007
15 years 2 months ago
Extracting Propositional Rules from Feed-forward Neural Networks - A New Decompositional Approach
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
Sebastian Bader, Steffen Hölldobler, Valentin...
80
Voted
NIPS
2004
15 years 2 months ago
PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
Mario Marchand, Mohak Shah
90
Voted
SODA
1997
ACM
98views Algorithms» more  SODA 1997»
15 years 2 months ago
Optimal Good-Aspect-Ratio Coarsening for Unstructured Meshes
A hierarchical gradient of an unstructured mesh M0 is a sequence of meshes M1;...;Mk such that jMkj is smaller than a given threshold mesh size b. The gradient is well-conditioned...
Gary L. Miller, Dafna Talmor, Shang-Hua Teng
DSP
2008
15 years 25 days ago
Fisher information and noise-aided power estimation from one-bit quantizers
We investigate power estimation on a random noise from measurements taken by one-bit quantizers, with an efficacy assessed by the Fisher information. In isolated quantizers, an op...
François Chapeau-Blondeau, Solenna Blanchar...