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» Formal testing from timed finite state machines
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ICASSP
2011
IEEE
13 years 11 days ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
ATAL
2006
Springer
14 years 11 days ago
Verifying space and time requirements for resource-bounded agents
The effective reasoning capability of an agent can be defined as its capability to infer, within a given space and time bound, facts that are logical consequences of its knowledge...
Natasha Alechina, Mark Jago, Piergiorgio Bertoli, ...
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
14 years 15 days ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
JUCS
2008
186views more  JUCS 2008»
13 years 8 months ago
A Safe Dynamic Adaptation Framework for Aspect-Oriented Software Development
: One focus of current software development is the re-use of components in the construction of systems. Software Adaptation facilitates the consequent need to adapt these component...
Miguel Ángel Pérez Toledano, Amparo ...
ICCAD
1994
IEEE
134views Hardware» more  ICCAD 1994»
14 years 23 days ago
Boolean constrained encoding: a new formulation and a case study
1 This paper provides a new, generalized approach to the problem of encoding information as vectors of binary digits. We furnish a formal definition for the Boolean constrained enc...
Ney Laert Vilar Calazans