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» Maximum likelihood analysis of algorithms and data structure...
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116
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DIS
2007
Springer
15 years 10 months ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki
159
Voted
TNN
2008
182views more  TNN 2008»
15 years 3 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
114
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TCBB
2011
14 years 10 months ago
Graph Comparison by Log-Odds Score Matrices with Application to Protein Topology Analysis
A TOPS diagram is a simplified description of the topology of a protein using a graph where nodes are α-helices and β-strands, and edges correspond to chirality relations and p...
J. Rocha
139
Voted
TIFS
2010
120views more  TIFS 2010»
14 years 10 months ago
Quantitative Structural Steganalysis of Jsteg
Quantitative steganalysis strives to estimate the change rate defined as the relative number of embedding changes introduced by steganography. In this paper, we propose two new cla...
Jan Kodovský, Jessica J. Fridrich
170
Voted
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 26 days ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...