A Machine Learning Approach To Improve Congestion Control Over Wireless Computer Networks
White Papers The best method for this application appears to be decision tree boosting. This paper presents the application of machine learning techniques to the improvement of the congestion control of TCP in wired/wireless networks.
[December 27, 2007, 0:01]
Boosted Decision Trees For Project Risk Assessment And Pricing
White Papers It focuses in particular on "Stumps", which are one-level decision trees, and Alternating Decision Trees (ADT), which are more complex tree models. This paper presents a predictive modeling approach to project risk assessment and pricing using...
[April 12, 2005, 3:00]
Passive Operating System Identification From TCP/IP Packet Headers
White Papers Nearest neighbor and binary tree classifiers provide a low 9-class OS identification error rate of roughly 10% on unseen data without rejecting packets. New classifiers were developed using machine-learning approaches including cross-validation...
[November 7, 2007, 0:00]
Decision Tree Classifier For Network Intrusion Detection With GA-Based Feature Selection
White Papers This paper use a genetic algorithm to select a subset of input features for decision tree classifiers, with a goal of increasing the detection rate and decreasing the false alarm rate in network intrusion detection.
[July 11, 2008, 1:20]
Taking Ginger For A Test Drive
News It's a safety feature designed to reduce injury, should one come in contact with a pedestrian -- or a tree. The learning curve is minimal, and taking curves is as simple as a flick of the wrist. He seems about seven-and-a-half feet tall on the...
[December 22, 2001, 6:31]
