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» Measuring and Predicting Object Importance
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IPPS
2007
IEEE
14 years 2 months ago
A Probabilistic Approach to Measuring Robustness in Computing Systems
System builders are becoming increasingly interested in robust design. We believe that a methodology for generating robustness metrics will help the robust design research efforts...
Behdis Eslamnour, Shoukat Ali
JCNS
2011
87views more  JCNS 2011»
13 years 3 months ago
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...
Ifije E. Ohiorhenuan, Jonathan D. Victor
TON
2010
167views more  TON 2010»
13 years 3 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
ICPR
2010
IEEE
14 years 25 days ago
Learning Affordances for Categorizing Objects and Their Properties
In this paper, we demonstrate that simple interactions with objects in the environment leads to a manifestation of the perceptual properties of objects. This is achieved by derivi...
Nilgun Dag, Ilkay Atil, Sinan Kalkan, Erol Sahin
COMPSAC
2002
IEEE
14 years 1 months ago
The Application of Case-Based Reasoning to Early Web Project Cost Estimation
Literature shows that over the years numerous techniques for estimating development effort have been suggested, derived from late project measures. However, to the successful mana...
Emilia Mendes, Nile Mosley, Steve Counsell