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FTCS
1993
111views more  FTCS 1993»
13 years 9 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
14 years 1 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
14 years 1 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
AIED
2005
Springer
14 years 1 months ago
Advanced Capabilities for Evaluating Student Writing: Detecting Off-Topic Essays Without Topic-Specific Training
We have developed a method to identify when a student essay is off-topic, i.e. the essay does not respond to the test question topic. This task is motivated by a real-world problem...
Jill Burstein, Derrick Higgins
ENTCS
2007
126views more  ENTCS 2007»
13 years 7 months ago
Context Dependent Procedures and Computed Types in -eriFun
We present two enhancements of the functional language L which is used in the eriFun system to write programs and formulate statements about them. Context dependent procedures all...
Andreas Schlosser, Christoph Walther, Michael Gond...