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SPATIALCOGNITION
2000
Springer
13 years 11 months ago
Inference and Visualization of Spatial Relations
We present an approach to spatial inference which is based on the procedural semantics of spatial relations. In contrast to qualitative reasoning, we do not use discrete symbolic m...
Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Frit...
TNN
1998
92views more  TNN 1998»
13 years 7 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
CORR
2008
Springer
167views Education» more  CORR 2008»
13 years 7 months ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...
ICSE
1997
IEEE-ACM
13 years 11 months ago
Lackwit: A Program Understanding Tool Based on Type Inference
By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Robert O'Callahan, Daniel Jackson
AAAI
2010
13 years 9 months ago
Active Inference for Collective Classification
Labeling nodes in a network is an important problem that has seen a growing interest. A number of methods that exploit both local and relational information have been developed fo...
Mustafa Bilgic, Lise Getoor