On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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6 results for “BPNN”

Belief Propagation Neural Networkscs.LG

BPNNs learn to solve combinatorial problems faster and more accurately.

problem Generalizing belief propagation for efficient problem solving.

method BPNNs are parameterized operators that operate on factor graphs, generalizing BP. BPNN-D is a learned iterative operator that provably maintains BP's properties.

result BPNN-D converges 1.7x faster on Ising models and provides tighter bounds.

Belief Propagation Neural Networks Combinatorial Optimization Counting Problems Parameterized Operators

2020-07-01abs ↗pdf ↗

Music Style Classification with Compared Methods in XGB and BPNNcs.LG

Paper compares XGB and BPNN for music style classification.

problem Efficient music style classification using different methods.

method Feature extraction for timbral texture, rhythmic content, and pitch content; comparative evaluation of XGB and BPNN.

result XGB outperforms BPNN for small datasets in music classification.

music classification XGB BPNN feature extraction timbral texture

2019-12-03abs ↗pdf ↗

Application of backpropagation neural networks to both stages of fingerprinting based WIPSstat.ML

We propose a scheme to employ backpropagation neural networks (BPNNs) for both stages of fingerprinting-based indoor positioning using WLAN/WiFi signal strengths (FWIPS): radio map construction during the offline stage, and localization during the online stage. Given a training radio map (TRM), i.e., a set of coordinat…

2017-03-14abs ↗pdf ↗

Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19cs.LG

STNN models forecast COVID-19 spread with improved accuracy.

problem Forecasting the spread of COVID-19 worldwide.

method Spatio-temporal Neural Network (STNN) incorporating spatial and temporal data.

result STNN models outperform classical models in accuracy and handling both spatial and temporal data.

COVID-19 Neural Networks Forecasting Spatio-temporal Epidemic Prediction

2021-03-22abs ↗pdf ↗

Classification of Imbalanced Credit scoring data sets Based on Ensemble Method with the Weighted-Hybrid-Samplingstat.ML

A new algorithm improves credit scoring accuracy for imbalanced data.

problem Poor classification of minority class in credit scoring data sets.

method Weighted-Hybrid-Sampling-Boost (WHSBoost) algorithm with balanced data sampling.

result WHSBoost outperforms other methods in credit scoring accuracy.

credit scoring imbalanced data ensemble method sampling machine learning

2021-02-09abs ↗pdf ↗

An empirical learning-based validation procedure for simulation workflowcs.LG

Simulation workflow is a top-level model for the design and control of simulation process. It connects multiple simulation components with time and interaction restrictions to form a complete simulation system. Before the construction and evaluation of the component models, the validation of upper-layer simulation work…

2018-09-11abs ↗pdf ↗