— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
Virtual execution platforms contain many runtime subsystems that are invoked on-demand as user code executes. We have instrumented an open-source JVM to dump out information on th...
—We propose an adaptive hybrid automatic repeat request–forward error correction (ARQ–FEC) erasure-correcting scheme for quality of service (QoS)-driven mobile multicast serv...
This paper presents a model for adaptive agents. The model describes the behavior of an agent as a graph of roles, in short a behavior graph. Links between roles provide conditions...
Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivie...
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept...