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» Combining Methods for Dynamic Multiple Classifier Systems
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97
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WSC
1997
15 years 1 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
15 years 6 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
126
Voted
HYBRID
2003
Springer
15 years 5 months 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
128
Voted
DAGM
2008
Springer
15 years 2 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
95
Voted
MICRO
2009
IEEE
134views Hardware» more  MICRO 2009»
15 years 7 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....