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ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 6 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
CIKM
2010
Springer
15 years 5 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
SOCO
2008
Springer
15 years 5 months ago
Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems
Location awareness is the key capability of mobilecomputingapplications. Despitehighdemand, indoor location technologies have not become truly ubiquitous mainly due to their requir...
Uzair Ahmad, Andrey Gavrilov, Young-Koo Lee, Sungy...
JMS
2010
105views more  JMS 2010»
15 years 5 months ago
Applying Non-synchronized E-learning to the Nursing Clinical Ladder System
The time and spatial constraints of face-to-face learning often affect nursing staff’s inclination to enroll in ladder system training classes. Hence, their competence in clinica...
Li-Jung Leu, Hsueh-Chih Liao, I-Chiu Chang, Zhi-Yu...
MICCAI
2010
Springer
15 years 5 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...