The author is planning if possible classify all three-dimensional $(κ,μ)$-manifolds wether contact metric, almost cosymplectic, para-contact metric, almost para-cosymplectic. Of course classification in contact or almost cosymplectic cases already...
Tags: text-classification, fasttext | Score: 2
Tags: matlab, classification, weka, feature-selection | Score: 1
Oct 9, 2025 · Invertebrate animals are those that do not have a backbone. The majority of the world's animals are found in this group, representing 95% of the existing species.
A neural network for alignment-free, kingdom-level classification of eDNA (⭐ 7)
Sality is the classification for a family of malicious software (malware) infecting Microsoft Windows system files. Sality was first discovered in 2003
We present a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model. The approach allows for fitting flexible curve-models to each class of complex-shaped curves presenting regime c...
In this paper, we propose conditional adversarial networks (CANs), a framework that explores the relationship between the shared features and the label predictions to impose more discriminability to the shared features, for multi-domain text classifi...
While Unsupervised Domain Adaptation (UDA) algorithms, i.e., there are only labeled data from source domains, have been actively studied in recent years, most algorithms and theoretical results focus on Single-source Unsupervised Domain Adaptation (S...
Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category information can be used for building faceted search for digital library search...
Semi-supervised learning is an important and active topic of research in pattern recognition. For classification using linear discriminant analysis specifically, several semi-supervised variants have been proposed. Using any one of these methods is n...
Improvement guarantees for semi-supervised classifiers can currently only be given under restrictive conditions on the data. We propose a general way to perform semi-supervised parameter estimation for likelihood-based classifiers for which, on the f...
Oct 16, 2007 · Your horse is beautiful! My dream horse is an appendix bred APHA (not sure if that is the right classification) with four high socks and a bald face.
Oct 16, 2007 · Your horse is beautiful! My dream horse is an appendix bred APHA (not sure if that is the right classification) with four high socks and a bald face.
Quasi-alternating links are a generalization of alternating links. They are homologically thin for both Khovanov homology and knot Floer homology. Recent work of Greene and joint work of the first author with Kofman resulted in the classification of...
Mar 31, 2025 · Discover what data is, its types, and its importance in today's digital world. Learn how structured, unstructured, and big data drive decision-making, AI, and business growth.
Mar 31, 2025 · Discover what data is, its types, and its importance in today's digital world. Learn how structured, unstructured, and big data drive decision-making, AI, and business growth.
Zero-shot inference is a powerful paradigm that enables the use of large pretrained models for downstream classification tasks without further training. However, these models are vulnerable to inherited biases that can impact their performance. The t...
Transductive inference has been widely investigated in few-shot image classification, but completely overlooked in the recent, fast growing literature on adapting vision-langage models like CLIP. This paper addresses the transductive zero-shot and fe...
In recent years, few-shot and zero-shot learning, which learn to predict labels with limited annotated instances, have garnered significant attention. Traditional approaches often treat frequent-shot (freq-shot; labels with abundant instances), few-s...