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» Convergence analysis of online algorithms
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JMLR
2010
130views more  JMLR 2010»
13 years 3 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ICDAR
2011
IEEE
12 years 8 months ago
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane
—This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. We combine on-l...
Bilan Zhu, Jinfeng Gao, Masaki Nakagawa
CDC
2008
IEEE
121views Control Systems» more  CDC 2008»
14 years 2 months ago
Stability of a second order consensus algorithm with time delay
—In this paper, we investigate a second order consensus problem in a directed graph with non-uniform time delay. This problem arises naturally in real multi-agent systems such as...
Wen Yang, Andrea L. Bertozzi, Xiaofan Wang
IJON
2007
99views more  IJON 2007»
13 years 8 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
TSP
2010
13 years 3 months ago
Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus
Abstract--We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML...
Hualiang Li, Tülay Adali