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» Comparing Networks from a Data Analysis Perspective
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JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
RECOMB
2004
Springer
16 years 6 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir
CAISE
2005
Springer
16 years 12 hour ago
Bridging Relational Databases to Context-Aware Services
The provision of context-aware services in terms of the anytime/anywhere/anymedia paradigm requires the consideration of certain context properties in terms of time, location, devi...
Elisabeth Kapsammer, Wieland Schwinger, Werner Ret...
DCOSS
2005
Springer
16 years 6 hour ago
Routing Explicit Side Information for Data Compression in Wireless Sensor Networks
Abstract. Two difficulties in designing data-centric routes [2–5] in wireless sensor networks are the lack of reasonably practical data aggregation models and the high computatio...
Huiyu Luo, Gregory J. Pottie
ISMS
2004
Springer
15 years 12 months ago
Characterization of Soft-Tissue Material Properties: Large Deformation Analysis
: The biomechanical properties of soft tissue derived from experimental measurements are critical for developing a reality-based model for minimally invasive surgical training and ...
Tie Hu, Jaydev P. Desai