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» Applying Learning by Examples for Digital Design Automation
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ICCBR
2001
Springer
13 years 12 months ago
Meta-case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
J. William Murdock, Ashok K. Goel
MOBIHOC
2004
ACM
14 years 28 days ago
An adaptive strategy for maximizing throughput in MAC layer wireless multicast
Bandwidth efficiency of wireless multicast can be improved substantially by exploiting the fact that several receivers can be reached at the MAC layer by a single transmission. T...
Prasanna Chaporkar, Anita Bhat, Saswati Sarkar
SAC
2008
ACM
13 years 7 months ago
A software architecture for ontology-driven situation awareness
Human operators of large-scale control systems face the problem of information overload induced by the large amount of information provided by multiple heterogeneous and highlydyn...
Norbert Baumgartner, Werner Retschitzegger, Wielan...
IMC
2003
ACM
14 years 22 days ago
On inferring and characterizing internet routing policies
Border Gateway Protocol allows Autonomous Systems (ASs) to apply diverse routing policies for selecting routes and for propagating reachability information to other ASs. Although ...
Feng Wang, Lixin Gao
PROMISE
2010
13 years 2 months ago
Case-based reasoning vs parametric models for software quality optimization
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
Adam Brady, Tim Menzies