#statisticallearning

Autistic traits relate to speed/accuracy trade-off but not statistical learning and updating - Scientific Reports Scientific Reports - Autistic traits relate to speed/accuracy trade-off but not statistical learning and updating

6 months ago

Excited to share our latest paper! We show that autistic traits are associated with a different speed-accuracy strategy when the environment changes. This highlights the power of a dimensional approach over rigid categorical views.
doi.org/10.1038/s415...
#Autism #Learning #StatisticalLearning

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6 months ago

It’s the future of forecasting. 💥
#TimeSeries #Forecasting #MLOps #DataScience #AI #DeepLearning #ModelEvaluation #NewRelease #Python #StatisticalLearning #ForecastStability #DriftDetection #AIProductivity

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7 months ago

It’s the future of forecasting. 💥
#TimeSeries #Forecasting #MLOps #DataScience #AI #DeepLearning #ModelEvaluation #NewRelease #Python #StatisticalLearning #ForecastStability #DriftDetection #AIProductivity

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7 months ago

It’s the future of forecasting. 💥
#TimeSeries #Forecasting #MLOps #DataScience #AI #DeepLearning #ModelEvaluation #NewRelease #Python #StatisticalLearning #ForecastStability #DriftDetection #AIProductivity

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7 months ago

It’s the future of forecasting. 💥
#TimeSeries #Forecasting #MLOps #DataScience #AI #DeepLearning #ModelEvaluation #NewRelease #Python #StatisticalLearning #ForecastStability #DriftDetection #AIProductivity

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Advanced Conformal Prediction: Reliable Uncertainty Quantification for Real-World Machine Learning (Preorder / Early Access) 🚀 Advanced Conformal Prediction: Practical Uncertainty Quantification for Real-World ML 🚀Preorder / Early Access – Chapters released progressivelyFull book priced at over $80+ USD.Are you ready to take your machine learning models to the next level? Move beyond basic predictions and master advanced techniques for quantifying and managing uncertainty with confidence.In "Advanced Conformal Prediction," you'll dive deep into sophisticated methods designed to enhance reliability and decision-making in real-world AI applications. This comprehensive guide equips you with practical skills and cutting-edge tools, empowering you to confidently deploy machine learning solutions in high-stakes environments.Whether you're a data scientist, engineer, researcher, or practitioner, this book will become your essential resource for ensuring the trustworthiness of your AI models.📖 What's Inside: Advanced methods for uncertainty quantification Practical insights for real-world AI deployment Techniques for improving model reliability Join the journey and transform your approach to AI uncertainty today!🌟 Perfect for: Data Scientists and ML Engineers AI Researchers Professionals deploying ML in critical industries Secure your copy now and revolutionize how you manage uncertainty in machine learning!

7 months ago

valeman.gumroad.com/...

#MachineLearning #ConformalPrediction #Quantification #STEM #AdvancedML #StatisticalLearning #BeyondSplitConformal #LearnLikeAPro

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7 months ago

It’s the future of forecasting. 💥
#TimeSeries #Forecasting #MLOps #DataScience #AI #DeepLearning #ModelEvaluation #NewRelease #Python #StatisticalLearning #ForecastStability #DriftDetection #AIProductivity

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A functional trade-off between executive control and implicit statistical learning is dynamically gated by mind wandering Human cognition must balance goal-directed behavior with the need to learn from environmental regularities. Mind wandering (MW), a state of attentional decoupling from the task at hand, is paradoxical...

7 months ago

Our new preprint: Mind wandering is a cognitive trade-off.
Our study shows MW impairs executive control but BOOSTS implicit learning of hidden patterns. We found that the weaker the control, the greater the learning gain.
doi.org/10.1101/2025...
#statisticallearning
#sleeppeeps #psychscisky

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Athlyticz

@athlyticz.bsky.social

7 months ago

Only 1 week until #JSM2025!

Visit AthlyticZ at Booth 405 to see how we’re making data science training real, practical, and career-ready—with Python, R, Bayesian stats, Shiny, and more.

Let’s talk #StatisticalLearning, #AnalyticsEducation, and #STEMCareers in Nashville!

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Warwick Statistics

@warwickstats.bsky.social

8 months ago

These publications showcase Warwick Statistics' commitment to pushing the boundaries of statistical machine learning and AI methodology. Interested in our research? Connect with our department to explore potential collaborations!
#WarwickStats #AIResearch #StatisticalLearning #ReinforcementLearning

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Baby & Child Research Center

@brcnijmegen.bsky.social

8 months ago

Marlene Meyer & @robertoostenveld.bsky.social just received an NWO grant for studying how statistical learning in infants shapes language and social skills 👶 🧠. Congrats, Marlene & Robert!

#grant #nwo #babybrain #statisticallearning

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Raphaël Romero

@r-romero.bsky.social

9 months ago

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Preprint available:  arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @nickheard @alexandermodell
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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Raphaël Romero

@r-romero.bsky.social

9 months ago

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Full preprint available:
arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @alexandermodell @nickheard
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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Raphaël Romero

@r-romero.bsky.social

9 months ago

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Link to the full preprint:
arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @alexandermodell @nickheard
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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A Wandering Mind Improves Inferential Learning Leverage the power of the spontaneously wandering mind to enhance learning, problem-solving, and creativity.

10 months ago

Our recent study on mind wandering and local sleep has received additional media coverage.
www.psychologytoday.com/us/blog/expe...

#predictiveprocessing #Neuroscience #statisticallearning #cognition

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Matthew D Johnston

@mattdjohnston.bsky.social

10 months ago

Excited to be opening for this symposium on developmental dynamics between cognitive control and statistical learning today! @nemeth.bsky.social, Rachel Foster, and Qianqian Wang.

Time: 10:00 AM - 11:30 AM

203AB | Minneapolis Convention Center, Level Two
#SRCD2025 #statisticallearning #ef

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Matthew D Johnston

@mattdjohnston.bsky.social

10 months ago

Excited to be opening for this symposium today with @nemeth.bsky.social, Rachel Foster, and Qianqian Wang.

Join us today at 10:00AM in Room 203AB

#SRCD #statisticallearning #cognitivecontrol

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IceLab

@icelabumu.bsky.social

10 months ago

Bertold Mariën talks with Maria Eriksson in IceLab

Global vegetation models that predict forest growth and carbon storage should consider the clock to improve predictions of how forests will respond to climate change, according to Bertold Mariën. #SystemsBiology #StatisticalLearning

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