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In our connected era, we spend significant time and effort pursuing our curiosity. Often, we choose which information we seek, but on occasion, the selection is made for us. Hence, understanding whether and how choice influences curiosity is a key question.
Romero Verdugo, P. +7 more
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Boosted horizon of a boosted spacetime geometry [PDF]
prepared for the ES3 (Exact Solutions (Physical Aspects)) session of the MG14 Conference, Rome, July ...
BATTISTA E +3 more
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Can Behaviorally Informed Urban Living Labs Foster the Energy Transition in Cities?
Identifying governance schemes that promote cooperation among urban stakeholders is a priority in a context where rapid urbanization poses multiple and complex challenges for ensuring the sustainability of cities.
Nives Della Valle +4 more
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This article reviews the history, technique, effects, side effects, and detection of blood boosting. It also considers whether or not this particular performance enhancement technique is a thing of the past or a continuing form of abuse among athletes.
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Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests
Many of the best predictors for complex problems are typically regarded as hard to interpret physically. These include kernel methods, Shtarkov solutions, and random forests.
T. M. Le, Bertrand Clarke
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Domain Transfer Multiple Kernel Boosting for Classification of EEG Motor Imagery Signals
The application of wireless sensors in the brain-computer interface (BCI) system provides great convenience for the acquisition of electroencephalography (EEG) signals.
Mengxi Dai +4 more
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Machine Learning-Based Forecasting of Bitcoin Price Movements
In the volatile realm of cryptocurrency markets, this research explores the intricate dance of Bitcoin price dynamics through the lens of machine learning. Employing a multifaceted approach, we harness the power of Long Short-Term Memory (LSTM) networks,
Darko Angelovski +4 more
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Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale. In this paper, we consider beta regression, which is a generalization of logit models to situations where the response is continuous on
Schmid, Matthias +5 more
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Boosting Techniques for Nonlinear Time Series Models [PDF]
Many of the popular nonlinear time series models require a priori the choice of parametric functions which are assumed to be appropriate in specific applications.
Hothorn, Torsten +2 more
core +1 more source
Short-sighted decisions can have devastating consequences, and teaching people to make their decisions in a more far-sighted way is challenging. Previous research found that reflecting on one’s behavior can boost learning from success and failure.
Frederic Becker +4 more
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