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» Better Bounds for Online Scheduling
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FOCS
1995
IEEE
13 years 11 months ago
Tracking the Best Disjunction
Abstract. Littlestone developed a simple deterministic on-line learning algorithm for learning k-literal disjunctions. This algorithm (called Winnow) keeps one weight for each of t...
Peter Auer, Manfred K. Warmuth
FOCS
2005
IEEE
14 years 1 months ago
The Complexity of Online Memory Checking
We consider the problem of storing a large file on a remote and unreliable server. To verify that the file has not been corrupted, a user could store a small private (randomized...
Moni Naor, Guy N. Rothblum
FSTTCS
2007
Springer
14 years 1 months ago
Order Scheduling Models: Hardness and Algorithms
We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a singl...
Naveen Garg, Amit Kumar, Vinayaka Pandit
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
14 years 3 days ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
FAW
2010
Springer
203views Algorithms» more  FAW 2010»
13 years 6 months ago
Online Algorithms for the Newsvendor Problem with and without Censored Demands
The newsvendor problem describes the dilemma of a newspaper salesman—how many papers should he purchase each day to resell, when he doesn’t know the demand? We develop approach...
Peter Sempolinski, Amitabh Chaudhary