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165
Voted
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 3 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
127
Voted
CPM
2000
Springer
124views Combinatorics» more  CPM 2000»
15 years 8 months ago
Indexing Text with Approximate q-Grams
We present a new index for approximate string matching. The index collects text q-samples, that is, disjoint text substrings of length q, at fixed intervals and stores their posi...
Gonzalo Navarro, Erkki Sutinen, Jani Tanninen, Jor...
135
Voted
COMPGEOM
1995
ACM
15 years 7 months ago
Approximate Range Searching
The range searching problem is a fundamental problem in computational geometry, with numerous important applications. Most research has focused on solving this problem exactly, bu...
Sunil Arya, David M. Mount
155
Voted
ENGL
2008
160views more  ENGL 2008»
15 years 3 months ago
Vector Approximation based Indexing for High-Dimensional Multimedia Databases
With the proliferation of multimedia data, there is an increasing need to support the indexing and searching of high-dimensional data. In this paper, we propose an efficient indexi...
Imane Daoudi, Saîd El Alaoui Ouatik, A. El K...
163
Voted
DSN
2011
IEEE
14 years 3 months ago
Approximate analysis of blocking queueing networks with temporal dependence
—In this paper we extend the class of MAP queueing networks to include blocking models, which are useful to describe the performance of service instances which have a limited con...
Vittoria de Nitto Persone, Giuliano Casale, Evgeni...