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BMCBI
2007
89views more  BMCBI 2007»
13 years 7 months ago
Comparing segmentations by applying randomization techniques
Background: There exist many segmentation techniques for genomic sequences, and the segmentations can also be based on many different biological features. We show how to evaluate ...
Niina Haiminen, Heikki Mannila, Evimaria Terzi
PAMI
2008
198views more  PAMI 2008»
13 years 7 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
ICML
1998
IEEE
14 years 8 months ago
A Randomized ANOVA Procedure for Comparing Performance Curves
Three factors are related in analyses of performance curves such as learning curves: the amount of training, the learning algorithm, and performance. Often we want to know whether...
Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang, Mi...
EDM
2009
110views Data Mining» more  EDM 2009»
13 years 5 months ago
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
Mingyu Feng, Joseph Beck, Neil T. Heffernan
SIGMETRICS
2000
ACM
13 years 12 months ago
Comparing random data allocation and data striping in multimedia servers
Jose Renato Santos, Richard R. Muntz, Berthier A. ...