The k-means method is an old but popular clustering algorithm known for its observed speed and its simplicity. Until recently, however, no meaningful theoretical bounds were known...
Abstract— This paper derives a novel property of the secondorder modes of discrete-time systems under variable transformation. This is the generalization of the theory presented ...
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Information-based agency is founded on two observations: everything in an agent’s world model is uncertain, and everything that an agent communicates gives away valuable informa...
We present an extension of Tretmans’ theory and algorithm for test generation for input-output transition systems to real-time systems. Our treatment is based on an operational i...