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IPPS
2010
IEEE
13 years 10 months ago
Stability of a localized and greedy routing algorithm
Abstract--In this work, we study the problem of routing packets between undifferentiated sources and sinks in a network modeled by a multigraph. We consider a distributed and local...
Christelle Caillouet, Florian Huc, Nicolas Nisse, ...
JSAC
2010
194views more  JSAC 2010»
13 years 11 months ago
Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of
Abstract—Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. Such platforms use inertial information of their...
Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas...
ENDM
2006
127views more  ENDM 2006»
14 years 14 days ago
Greedy defining sets in graphs and Latin squares
Greedy algorithm sometimes uses more than (G) colors while coloring a graph G. A greedy defining set is an object to eliminate these extra colors so that the greedy coloring resul...
Manouchehr Zaker
DM
2010
108views more  DM 2010»
14 years 16 days ago
Grundy number and products of graphs
The Grundy number of a graph G, denoted by (G), is the largest k such that G has a greedy k-colouring, that is a colouring with k colours obtained by applying the greedy algorithm...
Marie Asté, Frédéric Havet, C...
ARSCOM
2008
119views more  ARSCOM 2008»
14 years 17 days ago
Greedy Defining Sets in Latin Squares
A Greedy Defining Set is a set of entries in a Latin square with the property that when the square is systematically filled in with a greedy algorithm, the greedy algorithm succee...
Manouchehr Zaker
VISUALIZATION
1995
IEEE
14 years 4 months ago
Automatic Generation of Triangular Irregular Networks Using Greedy Cuts
We propose a new approach to the automatic generation of triangular irregular networks from dense terrain models. We have developed and implemented an algorithm based on the greed...
Cláudio T. Silva, Joseph S. B. Mitchell, Ar...
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
14 years 4 months ago
Decision Tree Induction: How Effective is the Greedy Heuristic?
Mostexisting decision tree systemsuse a greedyapproachto inducetrees -- locally optimalsplits are inducedat every node of the tree. Althoughthe greedy approachis suboptimal,it is ...
Sreerama K. Murthy, Steven Salzberg
ISAAC
2000
Springer
178views Algorithms» more  ISAAC 2000»
14 years 4 months ago
Simple Algorithms for a Weighted Interval Selection Problem
Given a set of jobs, each consisting of a number of weighted intervals on the real line, and a number m of machines, we study the problem of selecting a maximum weight subset of th...
Thomas Erlebach, Frits C. R. Spieksma
ECML
2006
Springer
14 years 4 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
MFCS
2005
Springer
14 years 6 months ago
Greedy Approximation via Duality for Packing, Combinatorial Auctions and Routing
We study simple greedy approximation algorithms for general class of integer packing problems. We provide a novel analysis based on the duality theory of linear programming. This e...
Piotr Krysta