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What is Generalization

Handbook of Research on ICTs for Human-Centered Healthcare and Social Care Services
The power that a machine-learning model reveals to treat correctly patterns/situations that are not strictly the ones used in the training stage.
Published in Chapter:
Fall Detection Systems to be Used by Elderly People
Getúlio Igrejas (ESTiG, Polytechnic Institute of Bragança, Portugal), Joana S. Amaral (REQUIMTE, Faculty of Pharmacy, University of Porto & ESTiG, Polytechnic Institute of Bragança, Portugal), and Pedro J. S. Rodrigues (ESTiG, Polytechnic Institute of Bragança, Portugal)
DOI: 10.4018/978-1-4666-3986-7.ch024
Abstract
Statistics show that, each year, falls affect tens of millions of elderly people throughout the world. Falls are the leading cause of injury deaths and injury-related hospitalization among people over 65 years old. A system able to automatically detect falls could be an important tool from a social point of view, as it would contribute to the prompt assistance of these emergency cases. Currently, many researchers are interested in the development of fall detection systems. This chapter presents several approaches suggested so far, with special attention to the different strategies and technologies applied. Other sensor technologies that could be applied to this field are also referred. Additionally, a new fall detection system based on a machine learning paradigm, using neural networks, is suggested. The system was trained using fall and non-fall examples. Although the test set has included some particular examples, problematic for detection of the correspondent motion, the obtained results present good specificity (88.9%) and sensitivity (93.9%) rates.
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Approach to Minimize Bias on Aesthetic Image Datasets
Capability to predict outcome values for previously unseen data.
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Develop a Neural Model to Score Bigram of Words Using Bag-of-Words Model for Sentiment Analysis
Generalization of markov assumption is done by calculating the probability of a word depending on the probability of the n previous words trigrams, 4-grams, etc.
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Personalized Education for a Programming Course in Higher Education
Ability to express the solution of a problem in generic terms, which can be applied to different problems that share some of the same characteristics as the original problem.
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Inclusion is a Matter of Life and Death: More Than We Realize
Generalization is the ability of a student to perform a skill under different conditions (stimulus generalization), the ability to apply a skill differently (response generalization), and also to continue to exhibit that skill over time (maintenance).
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Counting the Hidden Defects in Software Documents
The ability of a model to yield good estimates on previously unseen input.
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Application of Bio-Feedback in Neurodevelopmental Disorders
The tendency to respond in the same way to different but similar stimuli.
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Efficiently Prompting Students When Developing Computational Thinking Skills: The Impact of Students' Response Modality
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Innovation, Creativity, Entrepreneurship Management: An Analytical Approach
It is an abstraction having common properties of specific instances which are formulated as general concepts.
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Behavioral Approach to Speech, Language, Hearing, and Communication Disorders
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Teaching Computational Thinking Unplugged: A Review of Tools and Methodologies
Used often with pattern matching. Process involving pattern recognition or matching, so that a solution of a specific problem can be modified and applied to several similar problems.
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“Asking the Woman Question” in Case Study Research
The act of interpretation that involves describing broad inferences from particular observations. Widely-acknowledged as a quality standard in quantitative research, this approach is more controversial in qualitative research.
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Using Augmented and Virtual Reality to Improve Social, Vocational, and Academic Outcomes of Students With Autism and Other Developmental Disabilities
When a skill that was taught to an individual under one subset of conditions is then used by that individual in other applicable conditions independent of further explicit instruction.
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Support Vector Machines
It is the process of formulating general concepts by abstracting common properties of instances. In the context-specific of the SVMs means that if a decision function h(x) is obtained from xi ? X ? Rd, this function is considered valid for all x ? Rd. It is the basis of all valid deductive inference and a process of verification is necessary to determine whether a generalization holds true for any new given instance.
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Synthetic Data Generation: Methods, Applications, and Multidisciplinary Use Cases
The ability of models or algorithms trained on one dataset (synthetic data) to perform well on unseen data, reflecting the model's capacity to apply knowledge learned from the training data to new, real-world scenarios.
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Mapping Generalizations and Specializations and Categories to Relational Databases
When entities have similar basic attributes, they can be classified into a generalized entity type. Generalization is the process of finding commonalities between entities to be able to abstract to a higher level entity set.
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Challenges of a Case Study
An act of the explanation that involves extracting conclusion from observations in particular areas.
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