machine learningmeta-modelCooling accounts for a significant amount of energy consumption in hot and humid climates, and district cooling is an energy-efficient solution. During its planning stage, an accurate and fast prediction of district cooling loads is required to assist decision-making. This ...
Machine learning isn’t limited to narrow-task execution. An engineer doesn’t have to compose a set of rules for the program to follow. Instead, a machine can devise its own model of finding the patterns after being “fed” a set of training examples. Dealing with a “black box” of ...
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high o... S Hsia,A Golden,B Acun,... - IEEE 被引...
developing是一个英语单词，可以用作形容词，可以翻译为发展中的、开发，等等。developing来自develop，发展。-ing，现在分词后缀。developing的牛津字典释义：adj.[only before noun]（of a country,society,etc. 国家、社会等）发展中的。poor,and trying to make its industry and economic system more ...
Train a machine learning model Tune a machine learning model Perform AI prompt-chaining with Amazon Bedrock Process high-volume messages from SQS Selective checkpointing example Start a CodeBuild build Preprocess data and train a machine learning model Orchestrate Lambda functions Start an Athena query...
The machine-learning model ultimately developed accurately predicted, sustained events with more than 97 percent sensitivity and specificity for time frames of both 30 and 60 minutes into the future. The false-alert rate was kept to less than 25 percent, compared to around 80 percent when focused...
As well, the paper illustrates a rule-based solution for developing the user profile in the context of the e-learning systems. The user model was ... C Quinn 被引量: 3发表: 2004年 Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Comple...
machine learning model based on particular statistical index, it is worth to examine different statistical index to confirm and settle the effectiveness of all the examined models. In addition, as it could be noticed that the achieved accuracy from both model approaches are not the expected ...
The learning process guided by global performance metrics such as prediction accuracy induces a bias towards the majority class, while the rare episodes remain unknown even if the prediction model produces a high overall precision (Loyola-González et al., 2016). Show abstract A survey on opinion...
The 鈥淓n-Tweet-Deep-SMF鈥model employs a gated recurrent unit, while the 鈥淓n-Tweet-Hib-SMF鈥model uses the convolutional neural network-bidirectional long-short term memory hybrid deep learning-based model. Additionally, kernel principal component analysis is utilized to reduce the dataset ...