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IJCNN
2006
IEEE
16 years 1 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— 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...
SOFTVIS
2006
ACM
16 years 1 months ago
Visualized adaptive runtime subsystems
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...
Jeremy Singer, Chris C. Kirkham
QSHINE
2005
IEEE
16 years 1 months ago
Adaptive Low-Complexity Erasure-Correcting Code-Based Protocols for QoS-Driven Mobile Multicast Services
—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...
Qinghe Du, Xi Zhang
AAMAS
2005
Springer
16 years 1 months ago
Towards Adaptive Role Selection for Behavior-Based Agents
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...
CIKM
2005
Springer
16 years 1 months ago
Adaptive load shedding for windowed stream joins
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...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu