33. Machine learning第6周编程作业(470) 34. CF581C Developing Skills 模拟(456) 35. [USACO08OPEN]农场周围的道路Roads Around The Farm BZOJ 1621 DFS(455) 36. atcoder 2643 切比雪夫最小生成树(452) 37. 字串变换 bfs + 字符串(437) 38. 无聊的数列 线段树差分(436) 39. CF959E Mahmo...
Researchers in EPFL's Digital and Cognitive Musicology Lab in the College of Humanities used an unsupervised machine learning model to 'listen to' and categorize more than 13,000 pieces of Western classical music, revealing how modes—such as major and minor—have changed throughout history. Many...
Prediction Feature, geo-localization, CPU/GPU detection: https://github.com/epfl-iglobalhealth/CS433-2021-ecoML Project report: https://infoscience.epfl.ch/record/278189?ln=en About A tool to quantify and report the carbon footprint of machine learning computations and communication Resources Re...
Towards Model Agnostic Federated Learning Using Knowledge Distillation EPFL Divergence-aware Federated Self-Supervised Learning Nanyang Technological University;SenseTime What Do We Mean by Generalization in Federated Learning? Stanford University;Google code FedBABU: Toward Enhanced Representation for Federat...
Another EPFL initiative—the Machine Learning 4 Science project component of the Machine Learning course of IC Professors Martin Jaggi and Nicolas Flammarion—is building cross campus collaborations, matching science projects from laboratories across all disciplines with students who will bring their machine...
A comprehensive introduction to the fundamentals of machine learning is also provided, including open-source databases, feature engineering, machine learning algorithms, and analysis of machine learning model. Afterwards, the latest progress in data-driven materials science and engineering, including ...
The goal in such unsupervised learning problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down...
Braun S (2018) LSTM benchmarks for deep learning frameworks. https://www.groundai.com/project/lstm-benchmarks-for-deep-learning-frameworks/. Accessed 27 Sept 2018 BusinessWire (2017) H2O.ai partners with IBM to bring Enterprise AI to IBM Power Systems. https://www.h2o.ai/company/h2o-ai...
Scientists have developed a pioneering new approach that will rapidly speed up machine learning—using light. An international team of researchers—from the Universities of Münster, Oxford, Exeter, Pittsburgh, École Polytechnique Fédérale (EPFL) and IBM Research Zurich—has developed a next-generati...
we employed advanced machine learning techniques, such as linear support vector machines (SVM), and integrated machine learning algorithms with spatial data types using GIS and R software. To identify dune accumulations from various multispectral sensors, we proposed a novel index called the Drifting ...