ADwin Real Time Systems
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Improving Adaptive Bagging Methods for Evolving Data Streams
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging. ASHT Bagging uses trees of different sizes, and ADWIN Bagging uses ADWIN as a change detector to decide when to discard underperforming ensemble members. We improve ADWIN Bagging using Hoeffding Adaptive...
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In the real time Intrusion Detection system, the main confront is to detect the Anomaly Intrusion Detection system Model with ADWIN change Detector. intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid build the model was decreased and the detection. Intrusion Detection System (IDS) to detect and prevent cybercrimes to protect these The prop...
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In real-time systems response to a request from a controlled object must be correct and timely. Any late response to a request from such a device might lead to a catastrophy. The possibility of a task overrun, i.e., missing the deadline for completing a requested task, must be checked and removed during the design of such systems. Safe design of real-time systems running periodic tasks under th...
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With the ongoing advancements in VLSI technology, the performance of an embedded system is no longer determined primarily by the number and speed of functional units, but by the communication of data and instructions. This results not only in on-chip memory & caching schemes, but also in new methods for onand off-chip communication. In this paper, we present new communication and arbitration sc...
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A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...
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تاریخ انتشار 2008