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» Evaluating Usefulness for Dynamic Classification
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SIGCOMM
1997
ACM
15 years 9 months ago
Dynamics of Random Early Detection
In this paper we evaluate the effectiveness of Random Early Detection (RED) over traffic types categorized as nonadaptive, fragile and robust, according to their responses to con...
Dong Lin, Robert Morris
ICML
2000
IEEE
16 years 5 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
AINA
2007
IEEE
15 years 11 months ago
Detecting Coordinated Distributed Multiple Attacks
This paper describes results concerning the robustness and generalization capabilities of kernel methods in detecting coordinated distributed multiple attacks (CDMA) using network...
Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Ba...
155
Voted
ISVC
2007
Springer
15 years 11 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
ECOOP
2006
Springer
15 years 8 months ago
Modeling Runtime Behavior in Framework-Based Applications
Abstract. Our research group has analyzed many industrial, frameworkbased applications. In these applications, simple functionality often requires excessive runtime activity. It is...
Nick Mitchell, Gary Sevitsky, Harini Srinivasan