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IJNCR
2010
59views more  IJNCR 2010»
13 years 7 months ago
Cognitively Inspired Neural Network for Recognition of Situations
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
Roman Ilin, Leonid I. Perlovsky
TIT
2010
124views Education» more  TIT 2010»
13 years 5 months ago
Soft-input soft-output single tree-search sphere decoding
Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The computational complexity of SISO detection often poses significant challenges for prac...
Christoph Studer, Helmut Bölcskei
IEEEHPCS
2010
13 years 8 months ago
Extending the educational scope of a particle-based simulation framework through parallelization
Particle systems have been incorporated into a wide variety of applications in both academia and industry. They can be employed to investigate complex natural phenomena, illustrat...
T. Francis Chen, Gladimir V. G. Baranoski
RR
2010
Springer
13 years 8 months ago
Redundancy Elimination on RDF Graphs in the Presence of Rules, Constraints, and Queries
Based on practical observations on rule-based inference on RDF data, we study the problem of redundancy elimination on RDF graphs in the presence of rules (in the form of Datalog r...
Reinhard Pichler, Axel Polleres, Sebastian Skritek...
JMLR
2010
135views more  JMLR 2010»
13 years 5 months ago
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
David Weiss, Benjamin Taskar