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» A Novel Hybrid Neural Network for Data Clustering
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 13 days ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
IPPS
2007
IEEE
15 years 6 months ago
Biomolecular Path Sampling Enabled by Processing in Network Storage
Computationally complex and data intensive atomic scale biomolecular simulation is enabled via Processing in Network Storage (PINS): a novel distributed system framework to overco...
Paul Brenner, Justin M. Wozniak, Douglas Thain, Aa...
IWANN
2011
Springer
14 years 2 months ago
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...
Romain Brasselet, Roland S. Johansson, Angelo Arle...
ISMB
1994
15 years 1 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
15 years 5 months ago
Overlapping Community Search for social networks
— Finding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes...
Arnau Padrol-Sureda, Guillem Perarnau-Llobet, Juli...