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CCECE
2006
IEEE
16 years 13 days ago
Likelihood-Based Algorithms for Linear Digital Modulation Classification in Fading Channels
Blind modulation classification (MC) is an intermediate step between signal detection and demodulation, with both military and civilian applications. MC is a challenging task, esp...
Octavia A. Dobre, Fahed Hameed
GRC
2009
IEEE
15 years 10 months ago
On the uniqueness of the expression for the Choquet integral with linear core in classification
The Choquet integral has been applied in data mining, such as nonlinear multiregressions and nonlinear classifications. Adopting signed efficiency measure in the Choquet integral ...
Weiwei Zhang, Wei Chen, Zhenyuan Wang
CLIMA
2004
15 years 7 months ago
Symbolic Negotiation with Linear Logic
Abstract. Negotiation over resources and multi-agent planning are important issues in multi-agent systems research. It has been demonstrated [19] how symbolic negotiation and distr...
Peep Küngas, Mihhail Matskin
NIPS
2003
15 years 7 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
AUTOMATICA
2010
122views more  AUTOMATICA 2010»
15 years 6 months ago
On the algebraic characterization of invariant sets of switched linear systems
In this paper, a suitable LaSalle principle for continuous-time linear switched systems is used to characterize invariant sets and their associated switching laws. An algorithm to...
Pierre Riedinger, Mario Sigalotti, Jamal Daafouz