Google Scholar Mocanu Elena et al (2016) Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning. Energy Build 116:646–655 Article Google Scholar Jordan I et al (2015) Machine learnig: trends, perspective, and prospects. Science 349(16245):...
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve it, one may have to trade off some accuracy. To overcome this
Deep Learning (MIT Press, 2016). Silver, D. et al. Mastering the game of Go with deep neural networks and tree search. Nature 529, 484 (2016). Article ADS CAS PubMed Google Scholar Mnih, V. et al. Human-level control through deep reinforcement learning. Nature 518, 529 (2015). ...
Article ADS CAS PubMed PubMed Central Google Scholar Prezja, F. et al. Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning. Preprint at http://arxiv.org/abs/2310.16954 (2023). Topol, E. J. High-performance medicine: The convergence of ...
LBJava - Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application. knn-java-library - Just a simple implementation of ...
🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge - hevan1sky/Machine-Learning-Knowledge
Patrice Simard: So, I actually think that machine teaching is bringing the discipline of programming to machine learning. So, something as simple as using source control and including in the source control the data. Now, I mean the Software 2.0, according to my definition, which is the intent...
Patrice Simard: So, I actually think that machine teaching is bringing the discipline of programming to machine learning. So, something as simple as using source control and including in the source control the data. Now, I mean the Software 2.0, according to my definition, which is the intent...
Article Google Scholar Bishop, C. M. Pattern recognition and machine learning (Springer, New York, 2006). Vapnik, V. Statistical Learning Theory (Wiley-Interscience, New York, 1998). Komatsubara, J. et al. Historical tsunamis and storms recorded in a coastal lowland, Shizuoka Prefecture, alon...
An empirical overview of the no free lunch theorem and its effect on real-world machine learning classification. Neural Comput. 28, 1. https://doi.org/10.1162/NECO_a_00793 (2016). Article MathSciNet MATH Google Scholar Lantz, B. Machine Learning With R. Lazy Learning—Classification Using...