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ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
GLOBECOM
2010
IEEE
13 years 5 months ago
Automatic Gain Control for ADC-Limited Communication
As the date rates and bandwidths of communication systems scale up, the cost and power consumption of highprecision (e.g., 8-12 bits) analog-to-digital converters (ADCs) become pro...
Feifei Sun, Jaspreet Singh, Upamanyu Madhow
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 9 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
CCS
1999
ACM
13 years 12 months ago
A High-Performance Network Intrusion Detection System
In this paper we present a new approach for network intrusion detection based on concise speciļ¬cations that characterize normal and abnormal network packet sequences. Our speciļ...
R. Sekar, Y. Guang, S. Verma, T. Shanbhag
ICPP
2006
IEEE
14 years 1 months ago
A Parallel, Out-of-Core Algorithm for RNA Secondary Structure Prediction
RNA pseudoknot prediction is an algorithm for RNA sequence search and alignment. An important building block towards pseudoknot prediction is RNA secondary structure prediction. T...
Wenduo Zhou, David K. Lowenthal