We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Brat...
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
In packet switches, packets queue at switch inputs and contend for outputs. The contention arbitration policy directly affects switch performance. The best policy depends on the c...
This paper presents the concepts of switching in the Time-Triggered Network-on-Chip (TTNoC), which is the communication subsystem of the Time-Triggered Systemon-Chip (TTSoC) archi...