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» Combining Methods for Dynamic Multiple Classifier Systems
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WSC
1997
15 years 8 months ago
Forecasting Investment Opportunities Through Dynamic Simulation
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...
Stephen R. Parker
CCECE
2006
IEEE
16 years 1 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
HYBRID
2003
Springer
16 years 5 days ago
Estimation of Distributed Hybrid Systems Using Particle Filtering Methods
Abstract. Networked embedded systems are composed of a large number of components that interact with the physical world via a set of sensors and actuators, have their own computati...
Xenofon D. Koutsoukos, James Kurien, Feng Zhao
226
Voted
DAGM
2008
Springer
15 years 8 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
MICRO
2009
IEEE
134views Hardware» more  MICRO 2009»
16 years 1 months ago
Coordinated control of multiple prefetchers in multi-core systems
Aggressive prefetching is very beneficial for memory latency tolerance of many applications. However, it faces significant challenges in multi-core systems. Prefetchers of diff...
Eiman Ebrahimi, Onur Mutlu, Chang Joo Lee, Yale N....