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IWANN
2009
Springer
16 years 1 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
ICANN
2007
Springer
16 years 21 days ago
Incremental and Decremental Learning for Linear Support Vector Machines
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
Enrique Romero, Ignacio Barrio, Lluís Belan...
IDEAL
2007
Springer
16 years 21 days ago
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
Ali Al-Shahib, David Gilbert, Rainer Breitling
SPIN
2007
Springer
16 years 20 days ago
An Embeddable Virtual Machine for State Space Generation
Abstract. The semantics of modelling languages are not always specified in a precise and formal way, and their rather complex underlying models make it a non-trivial exercise to r...
Michael Weber
HPDC
2006
IEEE
16 years 18 days ago
Motor: A Virtual Machine for High Performance Computing
High performance application development remains challenging, particularly for scientists making the transition to a Grid environment. In general areas of computing, virtual envir...
Wojtek Goscinski, David Abramson