2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)

Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231824 ◽

2020 ◽

Author(s):

Yukun Tan ◽

Fernando B. Lima Neto ◽

Ulisses Braga Neto

Keyword(s):

Approximate Bayesian Computation ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Protein Interaction Networks ◽

Interaction Networks ◽

Mass Spectrometry Data ◽

Liquid Chromatography Mass Spectrometry ◽

Protein Protein Interaction ◽

Protein Protein Interaction Networks ◽

Approximate Bayesian

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Scad-Penalized Complex Gaussian Graphical Model Selection

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231821 ◽

2020 ◽

Author(s):

Jitendra K. Tugnait

Keyword(s):

Model Selection ◽

Graphical Model ◽

Gaussian Graphical Model

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Online Tensor Low-Rank Representation for Streaming Data

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231620 ◽

2020 ◽

Author(s):

Tong Wu

Keyword(s):

Streaming Data ◽

Low Rank ◽

Low Rank Representation

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Graph Topology Inference Benchmarks for Machine Learning

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231794 ◽

2020 ◽

Author(s):

Carlos Lassance ◽

Vincent Gripon ◽

Gonzalo Mateos

Keyword(s):

Machine Learning ◽

Graph Topology ◽

Topology Inference

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Bandit-Based Relay Selection in Cooperative Networks Over Unknown Stationary Channels

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231604 ◽

2020 ◽

Author(s):

Nikolaos Nomikos ◽

Sadegh Talebi ◽

Risto Wichman ◽

Themistoklis Charalambous

Keyword(s):

Relay Selection ◽

Cooperative Networks

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Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231707 ◽

2020 ◽

Author(s):

Hanwook Chung ◽

Vikrant Singh Tomar ◽

Benoit Champagne

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Deep Convolutional Neural Network ◽

Inverse Filtering ◽

Filtering Approach

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Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231775 ◽

2020 ◽

Author(s):

Anubhab Ghosh ◽

Antoine Honore ◽

Dong Liu ◽

Gustav Eje Henter ◽

Saikat Chatterjee

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Robust Classification

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Author Index

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231704 ◽

2020 ◽

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On the Effectiveness of Two-Step Learning for Latent-Variable Models

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231729 ◽

2020 ◽

Author(s):

Cem Subakan ◽

Maxime Gasse ◽

Laurent Charlin

Keyword(s):

Latent Variable ◽

Latent Variable Models

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Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp49062.2020.9231626 ◽

2020 ◽

Author(s):

Shengdi Wang ◽

Ban-Sok Shin ◽

Dmitriy Shutin ◽

Armin Dekorsy

Keyword(s):

Kalman Filter ◽

Sensor Networks ◽

Diffusion Field ◽

Parameter Learning ◽

Field Estimation

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2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling

Scad-Penalized Complex Gaussian Graphical Model Selection

Online Tensor Low-Rank Representation for Streaming Data

Graph Topology Inference Benchmarks for Machine Learning

Bandit-Based Relay Selection in Cooperative Networks Over Unknown Stationary Channels

Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation

Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows

Author Index

On the Effectiveness of Two-Step Learning for Latent-Variable Models

Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks

Export Citation Format

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling

Scad-Penalized Complex Gaussian Graphical Model Selection

Online Tensor Low-Rank Representation for Streaming Data

Graph Topology Inference Benchmarks for Machine Learning

Bandit-Based Relay Selection in Cooperative Networks Over Unknown Stationary Channels

Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation

Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows

Author Index

On the Effectiveness of Two-Step Learning for Latent-Variable Models

Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks

2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
Latest Publications