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TOSEM
1998
80views more  TOSEM 1998»
15 years 6 months ago
Discovering Models of Software Processes from Event-Based Data
Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be d...
Jonathan E. Cook, Alexander L. Wolf
BRAIN
2010
Springer
15 years 5 months ago
Sparse Regression Models of Pain Perception
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki,...
JMLR
2010
157views more  JMLR 2010»
15 years 5 months ago
Kronecker Graphs: An Approach to Modeling Networks
How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks ...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 5 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
WINET
2010
91views more  WINET 2010»
15 years 5 months ago
Route duration modeling for mobile ad-hoc networks
In this paper, we present a model that estimates the time duration of routes formed by several intermediate nodes in mobile multi-hop ad-hoc networks. First, we analyze a 3-node ro...
Michael Pascoe-Chalke, Javier Gomez, Victor Rangel...