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Competitive On-Line Algorithms for Distributed Data Management

by Carsten Lund, Nick Reingold, Jeffery Westbrook, Dicky Yan , 1999
"... . Competitive on-line algorithms for data management in a network of processors are studied in this paper. A data object such as a file or a page of virtual memory is to be read and updated by various processors in the network. The goal is to minimize the communication costs incurred in serving a se ..."
Abstract - Cited by 11 (0 self) - Add to MetaCart
. Competitive on-line algorithms for data management in a network of processors are studied in this paper. A data object such as a file or a page of virtual memory is to be read and updated by various processors in the network. The goal is to minimize the communication costs incurred in serving a

Efficient handoff rerouting algorithms: a competitive on-line algorithmic approach

by Yigal Bejerano, Israel Cidon, Joseph (seffi Naor - Georgia Institute of Technology, Atlanta, GA , 2000
"... Abstract—This paper considers the design of handoff rerouting algorithms for reducing the overall session cost in personal communication systems (PCS). Most modern communication systems that are used as an infrastructure for PCS networks are based on connection-based technologies. In these systems, ..."
Abstract - Cited by 9 (1 self) - Add to MetaCart
and the hold costs of the links. We also prove a lower bound of 2 on the competitive ratio of any online algorithm, which means that the proposed algorithms are close in terms of worst case behavior to the best possible rerouting algorithm. In addition, experimental results also show that the proposed

dynamic priority-ordering

by G. Ramalingam, Thomas Reps
"... competitive on-line algorithms for the ..."
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competitive on-line algorithms for the

Dynamic Session Management for Static and Mobile Users: A Competitive On-Line Algorithmic Approach

by Yigal Bejerano, Israel Cidon, Joseph (Seffi) Naor
"... ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
Abstract not found

Competitive on-line statistics

by Volodya Vovk - International Statistical Review , 1999
"... A radically new approach to statistical modelling, which combines mathematical techniques of Bayesian statistics with the philosophy of the theory of competitive on-line algorithms, has arisen over the last decade in computer science (to a large degree, under the influence of Dawid’s prequential sta ..."
Abstract - Cited by 97 (15 self) - Add to MetaCart
A radically new approach to statistical modelling, which combines mathematical techniques of Bayesian statistics with the philosophy of the theory of competitive on-line algorithms, has arisen over the last decade in computer science (to a large degree, under the influence of Dawid’s prequential

Suffix arrays: A new method for on-line string searches

by Udi Manber, Gene Myers , 1991
"... A new and conceptually simple data structure, called a suffix array, for on-line string searches is intro-duced in this paper. Constructing and querying suffix arrays is reduced to a sort and search paradigm that employs novel algorithms. The main advantage of suffix arrays over suffix trees is that ..."
Abstract - Cited by 835 (0 self) - Add to MetaCart
A new and conceptually simple data structure, called a suffix array, for on-line string searches is intro-duced in this paper. Constructing and querying suffix arrays is reduced to a sort and search paradigm that employs novel algorithms. The main advantage of suffix arrays over suffix trees

On-line and Off-line Handwriting Recognition: A Comprehensive Survey

by Reâ Jean Plamondon, Sargur N. Srihari - IEEE Transactions on Pattern Analysis and Machine Intelligence
"... AbstractÐHandwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human transactions, machine recognition of handwriting has practical significance, as in reading handwritten no ..."
Abstract - Cited by 495 (8 self) - Add to MetaCart
notes in a PDA, in postal addresses on envelopes, in amounts in bank checks, in handwritten fields in forms, etc. This overview describes the nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms. Both the on-line

On-Line Construction of Suffix Trees

by Esko Ukkonen , 1995
"... An on-line algorithm is presented for constructing the suffix tree for a given string in time linear in the length of the string. The new algorithm has the desirable property of processing the string symbol by symbol from left to right. It has always the suffix tree for the scanned part of the strin ..."
Abstract - Cited by 437 (2 self) - Add to MetaCart
An on-line algorithm is presented for constructing the suffix tree for a given string in time linear in the length of the string. The new algorithm has the desirable property of processing the string symbol by symbol from left to right. It has always the suffix tree for the scanned part

Hierarchical mixtures of experts and the EM algorithm

by Michael I. Jordan, Robert A. Jacobs , 1993
"... We present a tree-structured architecture for supervised learning. The statistical model underlying the architecture is a hierarchical mixture model in which both the mixture coefficients and the mixture components are generalized linear models (GLIM’s). Learning is treated as a max-imum likelihood ..."
Abstract - Cited by 885 (21 self) - Add to MetaCart
problem; in particular, we present an Expectation-Maximization (EM) algorithm for adjusting the parame-ters of the architecture. We also develop an on-line learning algorithm in which the pa-rameters are updated incrementally. Comparative simulation results are presented in the robot dynamics domain.

A new learning algorithm for blind signal separation

by S. Amari, A. Cichocki, H. H. Yang - , 1996
"... A new on-line learning algorithm which minimizes a statistical de-pendency among outputs is derived for blind separation of mixed signals. The dependency is measured by the average mutual in-formation (MI) of the outputs. The source signals and the mixing matrix are unknown except for the number of ..."
Abstract - Cited by 622 (80 self) - Add to MetaCart
A new on-line learning algorithm which minimizes a statistical de-pendency among outputs is derived for blind separation of mixed signals. The dependency is measured by the average mutual in-formation (MI) of the outputs. The source signals and the mixing matrix are unknown except for the number
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