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ILP
2007
Springer
15 years 9 months ago
Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Nicolas Baskiotis, Michèle Sebag
SGAI
2007
Springer
15 years 9 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
AINA
2006
IEEE
15 years 9 months ago
Modeling, Predicting and Optimizing Redistribution between Clusters on Low Latency Networks
In this paper we study the problem of scheduling messages between two parallel machines connected by a low latency network during a data redistribution. We compare two approaches....
Emmanuel Jeannot, Frédéric Wagner
CGO
2006
IEEE
15 years 9 months ago
A Self-Repairing Prefetcher in an Event-Driven Dynamic Optimization Framework
Software prefetching has been demonstrated as a powerful technique to tolerate long load latencies. However, to be effective, prefetching must target the most critical (frequently...
Weifeng Zhang, Brad Calder, Dean M. Tullsen
ICRA
2006
IEEE
108views Robotics» more  ICRA 2006»
15 years 9 months ago
Classifying Knee Pathologies using Instantaneous Screws of the Six Degrees-of-freedom Knee Motion
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...
Alon Wolf, Amir Degani