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TOC
2010
123views Management» more  TOC 2010»
8 years 6 months ago
Rounds vs. Queries Tradeoff in Noisy Computation
: We show that a noisy parallel decision tree making O(n) queries needs (log n) rounds to compute OR of n bits. This answers a question of Newman [IEEE Conference on Computational ...
Navin Goyal, Michael Saks
TOC
2010
106views Management» more  TOC 2010»
8 years 6 months ago
Separating Deterministic from Randomized Multiparty Communication Complexity
Paul Beame, Matei David, Toniann Pitassi, Philipp ...
TNN
2010
132views Management» more  TNN 2010»
8 years 6 months ago
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification
Nearest prototype methods are a successful trend of many pattern classification tasks. However, they present several shortcomings such as time response, noise sensitivity, and Manu...
Isaac Triguero, Salvador García, Francisco ...
TNN
2010
233views Management» more  TNN 2010»
8 years 6 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...
TNN
2010
147views Management» more  TNN 2010»
8 years 6 months ago
State-space analysis of Boolean networks
This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
Daizhan Cheng, Hongsheng Qi
TNN
2010
143views Management» more  TNN 2010»
8 years 6 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
TNN
2010
121views Management» more  TNN 2010»
8 years 6 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
TNN
2010
185views Management» more  TNN 2010»
8 years 6 months ago
An adaptive multiobjective approach to evolving ART architectures
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
TNN
2010
155views Management» more  TNN 2010»
8 years 6 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
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