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SEKE
2007
Springer
16 years 8 days ago
An Approach to Software Testing of Machine Learning Applications
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
Chris Murphy, Gail E. Kaiser, Marta Arias
PPSC
1993
15 years 7 months ago
Parallel Preconditioning and Approximate Inverses on the Connection Machine
We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
Marcus J. Grote, Horst D. Simon
IJCSA
2007
84views more  IJCSA 2007»
15 years 6 months ago
Real Time Model Checking Using Timed Concurrent State Machines
Timed Concurrent State Machines are an application of Alur’s Timed Automata concept to coincidence-based (rather than interleaving) CSM modeling technique. TCSM support the idea...
Wiktor B. Daszczuk
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 1 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace
ICCV
2003
IEEE
16 years 8 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager