We present preliminary considerations on the architecture of a CONCEPT processing system for robots. With the help of CONCEPTS cognitive robots will be able to structure their sen...
This paper presents a novel semantic analysis of unit names (like pound and meter) and gradable adjectives (like tall, short and happy), inspired by measurement theory (Krantz et a...
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
Reduced Ordered Binary Decision Diagrams (BDDs) are a data structure for representation and manipulation of Boolean functions which are frequently used in VLSI Design Automation. ...