- Create a Rule|Based Categorization Rule Set for B2C Commerce🔍
- Impact of Instance Selection on kNN|Based Text Categorization🔍
- A Context‐Dependent Bayesian Account for Causal‐Based ...🔍
- A Clustered|Based Categorization of Millennials in their Technology ...🔍
- Investigating lexical categorization in reading based on joint ...🔍
- Multiple|instance learning for text categorization based on semantic ...🔍
- Distribution|Based Categorization of Classifier Transfer Learning🔍
- Explaining instance classifications with interactions of subsets of ...🔍
Instance|based categorization
Create a Rule-Based Categorization Rule Set for B2C Commerce
Required Editions · In Business Manager select Merchant Tools | Site | Products and Catalogs | Catalogs. · Navigate to your category and click edit. · Open the ...
Impact of Instance Selection on kNN-Based Text Categorization
With the increasing use of the Internet and electronic documents, automatic text categorization becomes imperative. Several machine learning algorithms have ...
Impact of Instance Selection on kNN-Based Text Categorization
However, kNN suffers from limitations such as high computation when classifying new instances. Instance selection techniques have emerged as ...
A Context‐Dependent Bayesian Account for Causal‐Based ...
Across three experiments, in combination with computational modeling, we offer evidence that categorization is better accounted for by assuming ...
A Clustered-Based Categorization of Millennials in their Technology ...
Findings revealed that not every millennial has the same technology use and behavior. Moreover, there are five clustered-based segments of ...
Investigating lexical categorization in reading based on joint ...
We use an individualized diagnostics and training framework to investigate processes in visual word recognition and evaluate its usefulness for detecting ...
Multiple-instance learning for text categorization based on semantic ...
It can also achieve large improvements in accuracy at much lower computational cost. Multiple-Instance learning is an extension of the standard supervised ...
Distribution-Based Categorization of Classifier Transfer Learning
In this paper we present a review of the literature on the majority of classification TL methods, and also a distribution-based categorization ...
Explaining instance classifications with interactions of subsets of ...
In this paper, we propose a new model-independent explanation method IME (Interactions-based Method for Expla- nation) that is designed to deal ...
Encyclopedia of Human Development - Categorization
Instead of emphasizing similar features, explanation-based approaches define categories based on theory-driven inferences. For example, ...
Single- vs. multiple-instance classification | Pattern Recognition
Our aim is to contrast MI with the standard approach of single-instance (SI) classification to determine when casting a problem in the MI framework is ...
Single- vs. multiple-instance classification - NASA/ADS
In multiple-instance (MI) classification, each input object or event is represented by a set of instances, named a bag, and it is the bag that carries a ...
Measuring the Cognitive Costs of Intentional Rule Updating
Often, this categorization is achieved via internalized rules. In rule-based categorization tasks, participants categorize stimuli according to given decision ...
Rule-Based Categorization | Infocenter | SFCC Learning
Rule-based categorization rules automatically assign all products that fit a criteria to a category. Create rule sets to establish this criteria.
Vocalization categorization behavior explained by a feature-based ...
A theoretical model that uses maximally informative spectrotemporal features to classify vocalizations, trained solely on natural guinea pig ...
Attribute-Based Classification for Zero-Shot Visual Object ...
We study the problem of object recognition for categories for which we have no training examples, a task also called zero--data or zero-shot learning.
Clustering-based Categorization of Music Users through ...
Through unsupervised learning, the clustering-based categorization of music users has the potential to revolutionize the music industry by ...
Relation-based categorization and category learning as a result ...
Relational categories are structure-based categories, defined not only by their internal properties but also by their extrinsic relations with other ...
1 Demystifying Theory-based Categorization Woo-kyoung Ahn ...
To test this structure-based hypothesis, Ahn (1998) examined the real-life categories used in previous studies (Barton & Komatsu, 1989; Malt & Johnson, 1992).
No evidence for a special role of language in feature-based ...
As a result, language impairment is expected to affect categorization of items grouped according to a single feature (low-dimensional categories ...