We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
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...
Location awareness is the key capability of mobilecomputingapplications. Despitehighdemand, indoor location technologies have not become truly ubiquitous mainly due to their requir...
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...
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...