We took part in the YouTube-8M Video Understanding Challenge hosted on Kaggle, and achieved the 10th place within less than one month's time. In this paper, we present an extensive analysis and solution to the underlying machine-learning problem base...
Even for better-studied sign languages like American Sign Language (ASL), data is the bottleneck for machine learning research. The situation is worse yet for the many other sign languages used by Deaf/Hard of Hearing communities around the world. In...
May 26, 2019 · Meaning, in 5-fold cross validation we split the data into 5 and in each iteration the non-validation subset is used as the train subset and the validation is used as test set.
Investigating serious crimes is inherently complex and resource-constrained. Law enforcement agencies (LEAs) grapple with overwhelming volumes of offender and incident data, making effective suspect identification difficult. Although machine learning...
Optimization decomposition methods are a fundamental tool to develop distributed solution algorithms for large scale optimization problems arising in fields such as machine learning and optimal control. In this paper, we present an algebraic framewor...
Get you a near 400 pound pancake machine for a RG. ??♂️ ...
bias, and the preservation of creative control. Visual communication design education is ill-prepared for automation, artificial intelligence and machine
Points: 1 | Comments: 0 | Author: bryanhogan
Optimizing the reliability and the robustness of a design is important but often unaffordable due to high sample requirements. Surrogate models based on statistical and machine learning methods are used to increase the sample efficiency. However, for...
crash Noar Linhas Aéreas Flight 4896 Voepass Linhas Aéreas Flight 2283 "logo.jpg Archived 2012-03-18 at the Wayback Machine." Aeronautical Accidents Investigation
We introduce a compact simulation framework for modeling open quantum systems coupled to structured, memory-retaining baths using QuTiP. Our method models the bath as a finite set of layered qubits with adjustable connections, interpreted either as a...
# [A Daily Chronicle of AI Innovations on January 16th 2025](https://apps.apple.com/ca/app/master-ai-machine-learning-pro/id1610947211) Listen at [https://podcasts.apple.com/ca/podcast/ai-daily-news-...
We present a study the initial stages of ice growth on pristine and oxygen-functionalized highly oriented pyrolytic graphite (O-HOPG), combining low-temperature scanning tunneling microscopy (LT-STM) and machine-learning structural searches. LT-STM i...
Evidence-Based Machine Learning (⭐ 9)
This paper discusses the GReTL reference solution of the TTC 2011 Reengineering case. Given a Java syntax graph, a simple state machine model has to be extracted. The submitted solution covers both the core task and the two extension tasks....
Algorithmic decisions made by machine learning models in high-stakes domains may have lasting impacts over time. However, naive applications of standard fairness criterion in static settings over temporal domains may lead to delayed and adverse effec...
196, 61. The Turing machine: Newquist 1994, p. 56 McCorduck 2004, pp. 63–64 Crevier 1993, pp. 22–24 Russell & Norvig 2021, p. 9 and see Turing 1936–1937
Predicting the results of sport matches and competitions is an arising research field, benefiting from the growing amount of available data and the novel data analytics techniques. Excellent forecasts can be achieved by advanced machine learning meth...
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In this study we focus on the prediction of basketball games in the Euroleague competition using machine learning modelling. The prediction is a binary classification problem, predicting whether a match finishes 1 (home win) or 2 (away win). Data is...