What are some specific regularization techniques used in convolutional neural networks (CNNs)?

Sep 28, 2017 ... Theory of Combining VIX and Trend · Trend Following in its simplest form comes down to using information (asset price history) from the market to ... Feb 10, 2024 ... Overfitting occurs when a trading strategy is excessively tuned to historical data, capturing not just the underlying market signals but also the noise. May 28, 2021 ... However, the CDS market has an informational advantage over the equity market which has increased with time, something not pre- viously ... For a new information criterion that utilizes quantified uncertainty to penalize overfitting models, please refer to Thanasutives, P., Morita, T., Numao, M., & ... Mar 18, 2025 ... 10 Tips to Diagnose Overfitting Errors in Your Data · Understanding Overfitting · Tip 1: Monitor Training Curves · Tip 2: Validate with Cross- ... Nov 21, 2024 ... An Information-Theoretic Perspective on Overfitting and Underfitting ... We present an information-theoretic framework for understanding ... Feb 25, 2015 ... ... over a wide range of ecological conditions. The model explicitly tracks individual animal informational state over space and time, with ... Oct 26, 2018 ... ... over time. Together, this research suggests that at least compositional information effects might bias human rights data over time. In a ... In addition, to prevent overfitting by global approximate models in some spaces because of the uneven distribution of the samples, local approximate models are ... ... informational content embodied in the data and it avoids both underfitting and overfitting of experimental observations, thus guaranteeing the principle of ...