Sciweavers

1196 search results - page 2 / 240
» Results Merging Algorithm Using Multiple Regression Models
Sort
View
CSCW
1994
ACM
13 years 9 months ago
A Flexible Object Merging Framework
The need to merge different versions of an object toa common state arises in collaborative computing due to several reasons including optimistic concurrency control, asynchronous ...
Jonathan P. Munson, Prasun Dewan
ECAIW
2008
Springer
13 years 7 months ago
An Autonomous Algorithm for Generating and Merging Clinical Algorithms
Abstract. Procedural knowledge in medicine uses to come expressed as isolated sentences in Clinical Practice Guidelines (CPG) that describe how to act in front of specific health-c...
Francis Real, David Riaño
DCC
2010
IEEE
13 years 10 months ago
Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment
In this paper, auto regressive (AR) model is applied to error concealment for block-based packet video encoding. Each pixel within the corrupted block is restored as the weighted ...
Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zh...
VLDB
2004
ACM
120views Database» more  VLDB 2004»
13 years 10 months ago
Merging the Results of Approximate Match Operations
Data Cleaning is an important process that has been at the center of research interest in recent years. An important end goal of effective data cleaning is to identify the relatio...
Sudipto Guha, Nick Koudas, Amit Marathe, Divesh Sr...
ICML
2004
IEEE
14 years 6 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung