- Similarity|based Classification🔍
- Similarity learning🔍
- Zero|Shot vs. Similarity|Based Text Classification🔍
- Class similarity definition in 3D classification?🔍
- Classification with Similarity Search🔍
- Is cosine similarity a classification or a clustering technique?🔍
- Connecting Similarity Learning to Binary Classification🔍
- Evaluating Unsupervised Text Classification🔍
Similarity|based Classification
Similarity-based Classification: Concepts and Algorithms
This paper reviews and extends the field of similarity-based classification, presenting new analy- ses, algorithms, data sets, and a comprehensive set of ...
Similarity learning - Wikipedia
Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, ...
Zero-Shot vs. Similarity-Based Text Classification
Zero-shot learning uses labeled training instances belonging to seen classes to learn a classifier that can predict testing instances belonging to different, ...
Class similarity definition in 3D classification? - CryoSPARC Discuss
Hi, How is class similarity defined and applied in 3D classification? The tooltip for this parameter states: “Expected similarity of ...
Classification with Similarity Search | by Luke Kerbs | GSI Technology
It turns out that with a slight tweak to the network we built, we can turn radio signal classification into a similarity search problem.
Is cosine similarity a classification or a clustering technique?
No. Cosine similarity can be computed amongst arbitrary vectors. It is a similarity measure (which can be converted to a distance measure, and then be used in ...
Similarity-based Classification: Concepts and Algorithms
Specifically, the generalizability of using similarities as features is analyzed, design goals and methods for weighting nearest-neighbors for similarity-based ...
Connecting Similarity Learning to Binary Classification - Liyuan Xu
In real-world classification problems, pairwise supervision (i.e., a pair of patterns with a binary label indicating whether they belong to the same class ...
(PDF) Similarity-based Classification: Concepts and Algorithms
PDF | This paper reviews and extends the field of similarity-based classification, presenting new analyses, algorithms, data sets, and a comprehensive.
Evaluating Unsupervised Text Classification: Zero-shot and ... - arXiv
Similarity-based approaches attempt to classify instances based on similarities between text document representations and class description ...
Case-based classification using similarity-based retrieval
Abstract: Classification involves associating instances with particular classes by maximizing intra-class similarities and minimizing inter-class ...
[PDF] Similarity-based Classification: Concepts and Algorithms
The generalizability of using similarities as features is analyzed, design goals and methods for weighting nearest-neighbors for similarity-based learning ...
Similarity classifier using similarities based on modified probabilistic ...
The similarity class for each x 1 ∈ X is a fuzzy set in which the membership grade of each element x 2 ∈ X is simply the strength of that element's relation to ...
[2101.11201] Similarity of Classification Tasks - arXiv
Based on this similarity measure, we propose a task-selection strategy for meta-learning and show that it can produce more accurate ...
Improved similarity-based modeling for the classification of rotating ...
A novel system to identify rotating-machinery faults based on SBM, that is employed either as a standalone classifier or to generate features for a random ...
Classification from Pairwise Similarity and Unlabeled Data
Classification from Pairwise Similarity and Unlabeled DataHan Bao, Gang Niu, Masashi SugiyamaSupervised learning needs a huge amount of labeled dat...
A similarity-based classification framework for multiple-instance ...
Specifically, a subset of instances is selected from positive bags as the positive candidates and the remaining ambiguous instances are associated with two ...
A set theory based similarity measure for text clustering and ...
While text classification is the process of classifying the text/document into its actual class by utilizing a similarity measure and a proper ...
Cosine Similarity & Classification - LinkedIn
Using the Cosine function & K-Nearest Neighbor algorithm, we can determine how similar or different two sets of items are and use it to determine the ...
A Methodology Combining Cosine Similarity with Classifier for Text ...
The proposed methodology combines cosine similarity (between a test document and predefined categories) with conventional classifiers such as MNB, SVM, and CNN.