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Instance selection (or dataset reduction, or dataset condensation) is an important data pre-processing step that can be applied in many machine learning (or data mining) tasks. [1] Approaches for instance selection can be applied for reducing the original dataset to a manageable volume, leading to a reduction of the computational resources that ...
Examples of instance-based learning algorithms are the k-nearest neighbors algorithm, kernel machines and RBF networks. [2]: ch. 8 These store (a subset of) their training set; when predicting a value/class for a new instance, they compute distances or similarities between this instance and the training instances to make a decision.
An Amazon Machine Image (AMI) is a special type of virtual appliance that is used to create a virtual machine within the Amazon Elastic Compute Cloud ("EC2"). It serves as the basic unit of deployment for services delivered using EC2. [1]
Pricing will vary based on the instance type, region, and operating system of the instance. Public on-demand pricing for EC2 can be found on the AWS website. The other pricing models for EC2 have different pricing models. Spot instances also have a cost per instance hour, but the cost will change on a regular basis based on the supply of EC2 ...
The first is challenge-based learning/problem-based learning, the second is place-based education, and the third is activity-based learning. Challenge-based learning is "an engaging multidisciplinary approach to teaching and learning that encourages students to leverage the technology they use in their daily lives to solve real-world problems ...
There are two major flavors of algorithms for Multiple Instance Learning: instance-based and metadata-based, or embedding-based algorithms. The term "instance-based" denotes that the algorithm attempts to find a set of representative instances based on an MI assumption and classify future bags from these representatives.
Example of problem/project based learning versus reading cover to cover. The problem/ project-based learner may memorize a smaller amount of total information due to spending time searching for the optimal material across various sources, but will likely learn more useful items for real world scenarios, and will likely be better at knowing ...
Google Compute Engine offers sustained use discounts. Once an instance is run for over 25% of a billing cycle, the price starts to drop: If an instance is used for 50% of the month, one will get a 10% discount over the on-demand prices; If an instance is used for 75% of the month, one will get a 20% discount over the on-demand prices