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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 10 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
RTSS
2008
IEEE
15 years 10 months ago
A Holistic Approach to Decentralized Structural Damage Localization Using Wireless Sensor Networks
Wireless sensor networks (WSNs) have become an increasingly compelling platform for Structural Health Monitoring (SHM) applications, since they can be installed relatively inexpen...
Gregory Hackmann, Fei Sun, Nestor Castaneda, Cheny...
WOSP
2005
ACM
15 years 9 months ago
Performance evaluation of UML software architectures with multiclass Queueing Network models
Software performance based on performance models can be applied at early phases of the software development cycle to characterize the quantitative behavior of software systems. We...
Simonetta Balsamo, Moreno Marzolla
IWANN
2005
Springer
15 years 9 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
WSNA
2003
ACM
15 years 9 months ago
Lightweight time synchronization for sensor networks
This paper presents lightweight tree-based synchronization (LTS) methods for sensor networks. First, a single-hop, pair-wise synchronization scheme is analyzed. This scheme requir...
Jana van Greunen, Jan M. Rabaey