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ESANN
2008
15 years 8 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
AISADM
2005
Springer
16 years 7 days ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
ECBS
2007
IEEE
155views Hardware» more  ECBS 2007»
15 years 10 months ago
Evaluating the Quality of Models Extracted from Embedded Real-Time Software
Due to the high cost of modeling, model-based techniques are yet to make their impact in the embedded systems industry, which still persist on maintaining code-oriented legacy sys...
Joel Huselius, Johan Kraft, Hans Hansson, Sasikuma...
JCISE
2002
166views more  JCISE 2002»
15 years 6 months ago
The STEP Modular Architecture
The first Technical Note in this series [1] introduced the international standard ISO 10303, informally known as STEP (STandard for the Exchange of Product model data). Subsequent...
Allison Barnard Feeney
WSC
2008
15 years 9 months ago
A multi threaded and resolution approach to simulated futures evaluation
As part of the DARPA Deep Green efforts, SAIC developed a multi-threaded and resolution approach to constructing and evaluating simulated futures to address the SimPath component....
David R. Pratt, Robert W. Franceschini, Robert B. ...