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» Comparing Networks from a Data Analysis Perspective
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JMLR
2006
389views more  JMLR 2006»
15 years 3 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 4 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
15 years 9 months 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
15 years 9 months 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 9 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