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ENTCS
2010
119views more  ENTCS 2010»
15 years 3 months ago
Bio-PEPA for Epidemiological Models
Many models have been defined in order to describe the evolution of a disease in a population. The modelling of diseases is helpful to understand the mechanisms for their spread a...
Federica Ciocchetta, Jane Hillston
ICASSP
2011
IEEE
14 years 7 months ago
An ALPS view of sparse recovery
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...
Volkan Cevher
ICIP
2001
IEEE
16 years 5 months ago
Combining support vector machines for accurate face detection
The paper proposes the application of majority voting on the output of several support vector machines in order to select the most suitable learning machine for frontal face detec...
Ioan Buciu, Constantine Kotropoulos, Ioannis Pitas
113
Voted
EACL
2003
ACL Anthology
15 years 4 months ago
Combining Distributional and Morphological Information for Part of Speech Induction
In this paper we discuss algorithms for clustering words into classes from unlabelled text using unsupervised algorithms, based on distributional and morphological information. We...
Alexander Clark
AGTIVE
2007
Springer
15 years 9 months ago
Combining Quality Assurance and Model Transformations in Business-Driven Development
Abstract. Business-driven development is a methodology for developing IT solutions that directly satisfy business requirements. At its core are business processes, which are usuall...
Jana Koehler, Thomas Gschwind, Jochen Malte Kü...