[RMM] RMM: Reinforced Memory Management for Class-Incremental Learning(NIPS 2021)[paper][code] [LSF] Learning with Selective Forgetting(IJCAI 2021)[paper] [ASER] Online Class-Incremental Continual Learning with Adversarial Shapley Value(AAAI 2021)[paper][code] [CML] Curriculum-Meta Learning for Or...
The createdBy attribute in the ContentManagementSystem class is given a default initial value and a property of readOnly so that the attribute cannot be changed throughout the lifetime of the system If the ContentManagementSystem class were to be implemented in Java source code, then the ...
There are a number of ways to break up your UML model diagrams into perspectives or views that capture a particular facet of your system. In this book, we use Kruchten’s 4+1 view model to help you show you how each diagram type plays a part in the overall model, as shown inFigure...
This includes adaptability in areas such as technical proficiency, self-management skills, and information literacy. Among these, the adaptability of university students to online learning primarily depends on their familiarity with the technology tools they use. Therefore, mastering online learning ...
All these capabilities come together in a single solution with a unified programming and management stack. There’s no need to add additional components to your architecture, such as an external storage, cache or messaging system. In short, you have a solution in which ...
The amount of data generated by a Learning Management System (LMS) and online courses contain rich information about the students’ learning style.Leonardo et al. (2018)define as examples of this information the Learner Learning Trail (LLT), which is the sequence of interactions between the stude...
To summarize, BDI is a paradigm and set of general principles, which can be used to design the architecture of a software system for decision making. You may be familiar with other design paradigms, such as three-tier architecture or Model-View-Controller for ...
The Prediction property is a string representation of the predicted class (“moderate” for the demo) and the Score is an array of float values that correspond to each possible class: (0.0034, 0.9055, 0.0912). The AutoML system uses the order in which class labels are first seen in the tr...
There are multiple types of machine learning, and you must apply the appropriate type depending on what you're trying to predict. A breakdown of common types of machine learning is shown in the following diagram. Supervised machine learning ...
The notebook includes a caution stating that the data set used here is merely a sample for educational purposes. A production classification system for determining the status of growths would involve more data points, features, test results and input from medical personne...