Sciweavers

2354 search results - page 169 / 471
» Randomness, Stochasticity and Approximations
Sort
View
ICC
2007
IEEE
136views Communications» more  ICC 2007»
14 years 3 months ago
On the Approximation of the Linear Combination of Log-Normal RVs via Pearson Type IV Distribution: Application to UWB Performanc
— Approximating the sum of Log–Normal random variables (RVs) is a long–standing open issue, in the old and recent literature, and many approaches have been proposed to deal w...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
JMLR
2008
230views more  JMLR 2008»
13 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
APPROX
2008
Springer
124views Algorithms» more  APPROX 2008»
13 years 11 months ago
Deterministic 7/8-Approximation for the Metric Maximum TSP
We present the first 7/8-approximation algorithm for the maximum traveling salesman problem with triangle inequality. Our algorithm is deterministic. This improves over both the r...
Lukasz Kowalik, Marcin Mucha
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 9 months ago
Approximating Multi-Criteria Max-TSP
Abstract. We present randomized approximation algorithms for multicriteria Max-TSP. For Max-STSP with k > 1 objective functions, we obtain an approximation ratio of 1 k - for a...
Markus Bläser, Bodo Manthey, Oliver Putz
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
14 years 28 days ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro