One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
Byzantine fault tolerant state machine replication (BFT-SMR) is a foundation for implementations of highly reliable services. Existing algorithms for BFT-SMR require at least 3f +...
The success of agent-oriented concepts in various application domains, in particular in manufacturing control, creates the need for an agent-oriented analysis, design, and program...
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...