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NIPS
2007
13 years 9 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
TNN
2008
119views more  TNN 2008»
13 years 7 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
SYNASC
2005
IEEE
86views Algorithms» more  SYNASC 2005»
14 years 1 months ago
One and Two Polarizations, Membrane Creation and Objects Complexity in P Systems
We improve, by using register machines, some existing universality results for specific models of P systems. P systems with membrane creation are known to generate all recursivel...
Artiom Alhazov, Rudolf Freund, Agustin Riscos-N&ua...
WG
2010
Springer
13 years 5 months ago
Network Exploration by Silent and Oblivious Robots
In this paper we investigate the basic problem of Exploration of a graph by a group of identical mobile computational entities, called robots, operating autonomously and asynchrono...
Jérémie Chalopin, Paola Flocchini, B...
PODS
2006
ACM
98views Database» more  PODS 2006»
14 years 7 months ago
Two-variable logic on data trees and XML reasoning
d Abstract] Mikolaj Boja?nczyk Faculty of Mathematics, Informatics and Mechanics Warsaw University Poland Claire David LIAFA Universit?e Paris 7 France Anca Muscholl LIAFA Universi...
Mikolaj Bojanczyk, Claire David, Anca Muscholl, Th...