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NIPS
2004
15 years 8 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
SODA
1998
ACM
99views Algorithms» more  SODA 1998»
15 years 8 months ago
Online Throughput-Competitive Algorithm for Multicast Routing and Admission Control
We present the first polylog-competitive online algorithm for the general multicast admission control and routing problem in the throughput model. The ratio of the number of reque...
Ashish Goel, Monika Rauch Henzinger, Serge A. Plot...
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
15 years 1 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 7 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
ECBS
2006
IEEE
211views Hardware» more  ECBS 2006»
16 years 22 days ago
Modified Pseudo LRU Replacement Algorithm
Although the LRU replacement algorithm has been widely used in cache memory management, it is wellknown for its inability to be easily implemented in hardware. Most of primary cac...
Hassan Ghasemzadeh, Sepideh Sepideh Mazrouee, Moha...