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ECAI
2008
Springer
15 years 8 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
JMLR
2008
100views more  JMLR 2008»
15 years 6 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
MICCAI
2007
Springer
16 years 7 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
ICDE
2006
IEEE
110views Database» more  ICDE 2006»
16 years 8 months ago
Detecting Duplicates in Complex XML Data
Recent work both in the relational and the XML world have shown that the efficacy and efficiency of duplicate detection is enhanced by regarding relationships between entities. Ho...
Melanie Weis, Felix Naumann
CHI
2010
ACM
15 years 6 months ago
Multitasking bar: prototype and evaluation of introducing the task concept into a browser
This paper clarifies two common patterns of multitasking on the Web, namely Multiple Tasks (MT) and Multiple Session Task (MST). To support both of these, the task concept needs t...
Qing Wang, Huiyou Chang