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VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
SIGCSE
2008
ACM
153views Education» more  SIGCSE 2008»
13 years 4 months ago
A cross-domain visual learning engine for interactive generation of instructional materials
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
K. R. Subramanian, T. Cassen
SSPR
2010
Springer
13 years 4 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
BMCBI
2008
219views more  BMCBI 2008»
13 years 5 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
JUCS
2008
186views more  JUCS 2008»
13 years 5 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 ...