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EUROCOLT
1997
Springer
14 years 3 days ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag
IUI
2005
ACM
14 years 1 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
ICASSP
2007
IEEE
14 years 2 months ago
Protein Fold Recognition using Residue-Based Alignments of Sequence and Secondary Structure
Protein structure prediction aims to determine the three-dimensional structure of proteins form their amino acid sequences. When a protein does not have similarity (homology) to a...
Zafer Aydin, Hakan Erdogan, Yucel Altunbasak
CIKM
2009
Springer
14 years 18 days ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
NSDI
2008
13 years 10 months ago
DieCast: Testing Distributed Systems with an Accurate Scale Model
Large-scale network services can consist of tens of thousands of machines running thousands of unique software configurations spread across hundreds of physical networks. Testing ...
Diwaker Gupta, Kashi Venkatesh Vishwanath, Amin Va...