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» The Convergence of Iterated Classification
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AUTOMATICA
2007
90views more  AUTOMATICA 2007»
15 years 23 days ago
Stability analysis of discrete-time iterative learning control systems with interval uncertainty
This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plant Markov parameters are subject to interval uncerta...
Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen
107
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BMCBI
2007
160views more  BMCBI 2007»
15 years 23 days ago
Convergent algorithms for protein structural alignment
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
Leandro Martínez, Roberto Andreani, Jos&eac...
96
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NIPS
2008
15 years 2 months ago
Linear Classification and Selective Sampling Under Low Noise Conditions
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...
UAI
2003
15 years 2 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
123
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CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 22 days ago
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Bargaining networks model the behavior of a set of players who need to reach pairwise agreements for making profits. Nash bargaining solutions in this context correspond to soluti...
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs,...