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» Embedding Heterogeneous Data Using Statistical Models
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ICML
2001
IEEE
16 years 4 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
135
Voted
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
15 years 1 months ago
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
Abstract— Autonomous robot navigation in unstructured outdoor environments is a challenging and largely unsolved area of active research. The navigation task requires identifying...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
15 years 4 months ago
Approximating Representations for Large Numerical Databases
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
Szymon Jaroszewicz, Marcin Korzen
ITC
2000
IEEE
88views Hardware» more  ITC 2000»
15 years 7 months ago
Predicting device performance from pass/fail transient signal analysis data
Transient Signal Analysis (TSA) is a Go/No-Go device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, a technique based o...
James F. Plusquellic, Amy Germida, Jonathan Hudson...
SENSYS
2009
ACM
15 years 10 months ago
Darjeeling, a feature-rich VM for the resource poor
The programming and retasking of sensor nodes could benefit greatly from the use of a virtual machine (VM) since byte code is compact, can be loaded on demand, and interpreted on...
Niels Brouwers, Koen Langendoen, Peter Corke