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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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4 results for “wear-in/wear-out”

Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effectcs.LG

Study shows how repetition affects learning in bandit settings, providing algorithms with sublinear regret.

problem Effect of persistence of engagement on learning in stochastic multi-armed bandit settings.

method Novel algorithms that achieve sublinear regret under temporal constraints.

result Additive effect of priming on regret upper bound, matching popular algorithms in absence of priming.

stochastic multi-armed bandits priming effect sublinear regret wear-in/wear-out repetition effect

2020-06-18abs ↗pdf ↗

Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networkscs.LG

Deep neural nets classify tool wear in blanking processes.

problem Predicting tool wear in blanking processes to improve quality and reduce downtime.

method Deep Convolutional Neural Networks trained on workpiece images of 16 wear states.

result High accuracy in predicting tool wear states.

tool wear blanking processes deep learning wear classification neural networks

2021-07-26abs ↗pdf ↗

Bayes in Wonderland! Predictive supervised classification inference hits unpredictabilitystat.ML

Bayesian classifiers converge under certain exchangeability conditions with more data.

problem Predictive accuracy of marginal classifiers under varying data conditions.

method Introduced and compared mBpc and sBpc, provided computational scheme for PE sequences, and developed parameter estimation and testing methods.

result mBpc and sBpc converge under PE conditions with increasing data, validating mBpc's use.

Bayesian predictive classification Exchangeability Partition exchangeability mBpc sBpc

2021-12-03abs ↗pdf ↗

Growth, Poverty Trap and Escapephysics.soc-ph

Model shows how capital accumulation can lead to poverty traps and well-being states.

problem Capital accumulation and its effects on poverty and well-being.

method Stochastic Solow growth model with sigmoidal saving fraction and bimodal steady state distribution.

result Existence of poverty trap with fluctuation-driven transitions between poverty and well-being states.

capital accumulation stochastic model steady state distribution poverty trap well-being

2023-10-13abs ↗pdf ↗