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Methods

1,725 papers (1 classified directly here)

Subtopics

Time Series Analysis (832) Data Mining (651) Time Series (431)

Papers per year

1
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23
157
196
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Papers (including subtopics)

The Infinite Markov Model NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Catching Change-points with Lasso NIPS 2007
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Blind source separation for over-determined delayed mixtures NIPS 2006
Towards a general independent subspace analysis NIPS 2006
In-Network PCA and Anomaly Detection NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006
Recursive Attribute Factoring NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
A recipe for optimizing a time-histogram NIPS 2006
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
Using Machine Learning to Guide Architecture Simulation JMLR 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks JMLR 2005
Subgroup Discovery with CN2-SD JMLR 2004
Weather Data Mining Using Independent Component Analysis JMLR 2004
Graph-Based Hierarchical Conceptual Clustering JMLR 2001