Machine-learning control is of particular relevance to our work, where a machine-learning algorithm is applied to control a complex system and generate an effective control law that maps the desired system output to the input. More specifically, for complex control problems where an accurate model...
values of the coefficients) and L2 (the sum of the squared values of the coefficients) penalties, elastic net addresses the limitations of alternative linear models such as LASSO regression (not capable of handling multi-collinearity) and Ridge Regression (may not produce sparse-enough solutions)70...
Cisco is using AI/ML and data to make Cisco DNA Center smarter! The new Cisco AI Network Analytics solution, within Cisco DNA Center, provides highly personalized information to our customers’ environments that allows them to see problems sooner, solve proble...
Variable tectonic forces, abnormal pressure zones, and poorly consolidated and/or weak formations are the vulnerable sections of wellbore that often cause drilling problems. Moreover, it is, in most cases, impossible to continuously drill from a surface location to a target reservoir in a stable ...
Additionally, the operating points of all pathologists WTC were below the ROC curve of this method (Figure 3A-B). The ROC curves for the 2 leading algorithms, the pathologist WOTC, the mean ROC curve of the pathologists WTC, and the pathologists WTC with the highest and lowest AUCs are ...
摘要原文 Out-of-distribution (OOD) detection discerns OOD data where the predictor cannot make valid predictions as in-distribution (ID) data, thereby increasing the reliability of open-world classification. However, it is typically hard to collect real out-of-distribution (OOD) data for training...
This new formulation exploits the data coming from energy production and energy costs experiences in the past to solve the problem using state-of-the-art RL solutions. The hand-crafted MDP model makes use of a well-known degradation model, and the state definition takes into account all the ...
Github resources (Problems & Solutions): https://github.com/Blz-Galaxy/Machine-Learning Coursera machine learning course materials: https://class.coursera.org/ml/lecture/preview Text book: Bayesian Reasoning and Machine Learning: http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf ...
The past decade has witnessed the significant efforts in novel material discovery in the use of data-driven techniques, in particular, machine learning (ML). However, since it needs to consider the precursors, experimental conditions, and availability of
Data-driven machine-learning for predicting instantaneous and future fault-slip in laboratory experiments has recently progressed markedly, primarily due to large training data sets. In Earth however, earthquake interevent times range from 10’s-100’s o