Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
With the scaling down of the CMOS technologies, Negative Bias Temperature Instability (NBTI) has become a major concern due to its impact on PMOS transistor aging process and the ...
Hamed Abrishami, Safar Hatami, Behnam Amelifard, M...
ion Framework for Compositional Modeling 36 Diane Chi and Yumi Iwasaki Model Decomposition and Simulation 45 Daniel J. Clancy and Benjamin Kuipers A Distance Measure for Attention ...
Detailed knowledge about implemented concerns in the source code is crucial for the cost-effective maintenance and successful evolution of large systems. Concern mining techniques...