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# Model Selection Edit

113 papers with code · Methodology

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# The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration

8 May 2020wangnanwei/Birth-death-MCMC-Model-Selection

Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprecedented depth and scale.

0
08 May 2020

# TopicNet: Making Additive Regularisation for Topic Modelling Accessible

This paper introduces TopicNet, a new Python module for topic modeling.

57
01 May 2020

# Automatic Catalog of RRLyrae from $\sim$ 14 million VVV Light Curves: How far can we go with traditional machine-learning?

1 May 2020carpyncho/carpyncho-py

Finally, we show that the use of ensemble classifiers helps resolve the crucial model selection step, and that most errors in the identification of RRLs are related to low quality observations of some sources or to the difficulty to resolve the RRL-C type given the date.

1
01 May 2020

# The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

28 Apr 2020owenzx/InstabilityAnalysis

For the first question, we conduct a thorough empirical study over analysis sets and find that in addition to the unstable final performance, the instability exists all along the training curve.

5
28 Apr 2020

# SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

5 Apr 2020dynamicslab/SINDy-PI

In this work, we develop SINDy-PI (parallel, implicit), a robust variant of the SINDy algorithm to identify implicit dynamics and rational nonlinearities.

4
05 Apr 2020

# Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

Second, we integrate the whole evaluation codes into a code library and release this code library to the public for better development of this field.

15
06 Mar 2020

# LIBTwinSVM: A Library for Twin Support Vector Machines

27 Jan 2020mir-am/LIBTwinSVM

This paper presents LIBTwinSVM, a free, efficient, and open source library for Twin Support Vector Machines (TSVMs).

5
27 Jan 2020

# The Reciprocal Bayesian LASSO

23 Jan 2020himelmallick/BayesRecipe

A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization methods that use increasing penalties on the coefficients, leading to stronger parsimony and superior model selection relative to traditional shrinkage methods.

1
23 Jan 2020

# Evaluating Weakly Supervised Object Localization Methods Right

21 Jan 2020clovaai/wsolevaluation

In this paper, we argue that WSOL task is ill-posed with only image-level labels, and propose a new evaluation protocol where full supervision is limited to only a small held-out set not overlapping with the test set.

120
21 Jan 2020

# Inferring Convolutional Neural Networks' accuracies from their architectural characterizations

7 Jan 2020Duchstf/CNN-Architectural-Analysis

We characterize CNN's architecture by different attributes, and demonstrate that the attributes can be predictive of the networks' performance in two specific computer vision-based physics problems -- event vertex finding and hadron multiplicity classification in the MINERvA experiment at Fermi National Accelerator Laboratory.

0
07 Jan 2020