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» Active and Semi-supervised Data Domain Description
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AAAI
2000
13 years 7 months ago
The Systems Engineering Process Activities (SEPA) Methodology and Tool Suite
or cone, abstraction is chosen to represent a spectrum of user inputs/requirements that are narrowed, refined, and structured into a system design. User inputs require refinement f...
K. Suzanne Barber, Thomas J. Graser, Paul Grisham,...
IUI
2006
ACM
14 years 6 days ago
Interactive learning of structural shape descriptions from automatically generated near-miss examples
Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domai...
Tracy Hammond, Randall Davis
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
13 years 1 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof
ICML
2002
IEEE
14 years 7 months ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock
SWAP
2007
13 years 7 months ago
Applying Semantic Web Services
The use of Semantic Web Services (SWS) for increasing agility and adaptability in process execution is currently investigated in many settings. The common underlying idea is the dy...
Stefania Galizia, Alessio Gugliotta, Carlos Pedrin...