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» An Optimal Algorithm for Online Square Detection
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CPM
2005
Springer
106views Combinatorics» more  CPM 2005»
13 years 10 months ago
An Optimal Algorithm for Online Square Detection
A square is the concatenation of two identical non-empty strings. Let S be the input string which is given character by character. Let m be the (unknown) smallest integer such that...
Gen-Huey Chen, Jin-Ju Hong, Hsueh-I Lu
INFOCOM
2007
IEEE
13 years 11 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
ICASSP
2011
IEEE
12 years 8 months ago
A reweighted least squares algorithm for detection of QAM signaling in MIMO channels
This paper proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM) detector in multiple-input multiple-output (MIMO) channels. Although the QAM det...
Katsumi Konishi, Toshihiro Furukawa
ECAI
2006
Springer
13 years 8 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 5 months ago
Adaptive Bound Optimization for Online Convex Optimization
We introduce a new online convex optimization algorithm that adaptively chooses its regularization function based on the loss functions observed so far. This is in contrast to pre...
H. Brendan McMahan, Matthew J. Streeter