Instance|based categorization
[Hands-On] Instance-based Classification - Medium
Instance-based classification is a machine learning approach that uses the distance or similarity between instances to perform classification ...
Instance-based Learning - Dremio
Classification: Instance-based Learning excels in classifying unseen data based on the proximity to the known instances. Regression: These models can also ...
Instance-based categorization: automatic versus intentional forms of ...
... instance-based categorization. A financial decision-making task was used in which subjects had to decide whether a bank would approve loans for a series of ...
Instance-based categorization: Automatic versus intentional forms of ...
Investigated the influence of prior instances and declarative rule knowledge on the learning of a category, reporting on 2 experiments, ...
The research in this paper pertains to the general issue of the relationship between existing cognitive theories of categorization. The use of cognitive ...
Multiple instance learning - Wikipedia
In machine learning, multiple-instance learning (MIL) is a type of supervised learning. Instead of receiving a set of instances which are individually ...
Automatic versus intentional forms of retrieval | Memory & Cognition
Instance-based categorization: Automatic versus intentional forms of retrieval. Published: March 1995. Volume 23, pages 227–242, (1995); Cite this article.
Multiple instance classification: Review, taxonomy and comparative ...
In this work we provide such an analysis focused on the classification task (ie, leaving out other learning tasks such as regression).
Instance-based learning algorithms | Machine Learning
In this paper, we describe a framework and methodology, called instance-based learning, that generates classification predictions using only specific instances.
Explaining instance classifications with interactions of subsets of ...
The instance explanation is provided in the form of feature value contributions, which describe how individual feature values contribute to the decision.
Rule based categorization of string - KNIME Forum
Rule based categorization of string ... Hello,. I am new to Knime and have only a few experiences with it. I want to create a new column called “ ...
Experience-Based and On-Line Categorization of Objects in Early ...
Infants might categorize on line as they encounter category-related entities; alternatively, infants might depend on prior experience with entities in ...
Relation-Based Categorization and Category Learning as a Result ...
Relation-Based Categorization and Category Learning as a Result From Structural Alignment. The RoleMap Model ... Relational categories are ...
Bayesian multiple instance classification based on hierarchical ...
In this article a Bayesian multiple instance learning model, based on probit regression (MICProB), is proposed, which contributes a significant portion to the ...
QGIS rule-based categorization with multiple variables
... categorized by colour and data source is categorized by shape. This can be accomplished using rule-based categorization, however I have ...
Instance-based learning - GeeksforGeeks
The Machine Learning systems which are categorized as instance-based learning are the systems that learn the training examples by heart and ...
Bayesian inference in feature-based categorization - Stack Overflow
You can use a Bayesian classifier to calculate these probabilities. To fit a normal distribution as it is the most used distribution for ...
Relationships between similarity-based and explanation-based ...
category structure. +. Relationships Between Similarity-based and Explanation-based Categorization 207. A. The classical view. One view of category structure ...
Instance-based learning - Wikipedia
In machine learning, instance-based learning is a family of learning algorithms that, instead of performing explicit generalization, compare new problem ...
Rule-Based Categorization for B2C Commerce - Salesforce Help
Rule-Based Categorization for B2C Commerce. Rule-based categorization rules automatically assign all products that fit a criteria to a category. Create rule ...