Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but...
11 KB (1,526 words) - 18:29, 13 May 2024
the similarity of documents in the vector space model. In machine learning, common kernel functions such as the RBF kernel can be viewed as similarity functions...
17 KB (2,564 words) - 04:35, 12 July 2024
analysis, cosine similarity is a measure of similarity between two non-zero vectors defined in an inner product space. Cosine similarity is the cosine of...
22 KB (3,069 words) - 14:37, 6 August 2024
not just by arbitrary descriptors. Deep learning methods have become an accurate way to gauge semantic similarity between two text passages, in which each...
38 KB (4,216 words) - 00:39, 26 March 2024
height of a person, or the future temperature. Similarity learning is an area of supervised machine learning closely related to regression and classification...
135 KB (14,773 words) - 10:00, 12 September 2024
K-nearest neighbor algorithm Neural networks (Multilayer perceptron) Similarity learning Given a set of N {\displaystyle N} training examples of the form...
22 KB (3,012 words) - 13:16, 11 August 2024
www.sisap.org Similarity learning Latent semantic analysis Pei Lee, Laks V. S. Lakshmanan, Jeffrey Xu Yu: On Top-k Structural Similarity Search. ICDE 2012:774-785...
6 KB (766 words) - 18:42, 7 March 2024
linguistics, lexical similarity is a measure of the degree to which the word sets of two given languages are similar. A lexical similarity of 1 (or 100%) would...
7 KB (583 words) - 19:38, 21 August 2024
Siamese neural network (section Learning)
Systems. 6: 737–744. Chopra, S.; Hadsell, R.; LeCun, Y. (June 2005). "Learning a Similarity Metric Discriminatively, with Application to Face Verification"...
12 KB (1,575 words) - 00:45, 13 April 2024
Zero-shot learning (ZSL) is a problem setup in deep learning where, at test time, a learner observes samples from classes which were not observed during...
12 KB (1,384 words) - 08:09, 7 June 2024
Triplet loss (category Machine learning algorithms)
for learning similarity for the purpose of learning embeddings, such as learning to rank, word embeddings, thought vectors, and metric learning. Consider...
7 KB (927 words) - 09:46, 6 July 2024
learning. Factors that can affect transfer include: Context and degree of original learning: how well the learner acquired the knowledge. Similarity:...
12 KB (1,293 words) - 05:38, 9 September 2023
Kernel method (category Kernel methods for machine learning)
for vector output Kernel density estimation Representer theorem Similarity learning Cover's theorem "Kernel method". Engati. Retrieved 2023-04-04. Theodoridis...
13 KB (1,670 words) - 22:33, 2 August 2024
String metric (redirect from String similarity)
(also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings...
8 KB (527 words) - 20:55, 12 August 2024
gradient methods for learning Semantic analysis Similarity learning Sparse dictionary learning Stability (learning theory) Statistical learning theory Statistical...
41 KB (3,580 words) - 16:15, 14 June 2024
Hellinger distance, also a measure of distance between data sets Similarity learning, for other approaches to learn a distance metric from examples. "Reprint...
19 KB (2,684 words) - 09:30, 23 June 2024
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled...
31 KB (2,778 words) - 21:20, 7 September 2024
research that explores methodological and structural similarities between certain physical systems and learning systems, in particular neural networks. For example...
85 KB (10,309 words) - 20:54, 9 September 2024
Schneider, Stefan; Taylor, Graham W.; Kremer, Stefan C. (2020). "Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities...
51 KB (5,540 words) - 01:21, 27 August 2024
Bozinovski and Ante Fulgosi (1976). "The influence of pattern similarity and transfer learning upon the training of a base perceptron B2." (original in Croatian)...
15 KB (1,694 words) - 07:50, 27 August 2024
Regularization (mathematics) (redirect from Regularization (machine learning))
{T}}\left\|f_{t}-f_{s}\right\|^{2}M_{ts}} for a given symmetric similarity matrix M {\displaystyle M} . Bayesian learning methods make use of a prior probability that (usually)...
30 KB (4,617 words) - 15:12, 4 September 2024
Deep learning is a subset of machine learning methods based on neural networks with representation learning. The field takes inspiration from biological...
181 KB (17,987 words) - 16:50, 15 September 2024
interpolation Neighbor joining Principal component analysis Range search Similarity learning Singular value decomposition Sparse distributed memory Statistical...
27 KB (3,341 words) - 11:34, 22 August 2024
and scholars have drawn similarities between implicit learning and implicit memory. Examples from daily life, like learning how to ride a bicycle or...
28 KB (3,673 words) - 09:47, 13 August 2023
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...
152 KB (15,904 words) - 23:32, 16 September 2024
; Evans, Selby H. (March 1970), "Pythagorean distance and the judged similarity of schematic stimuli", Perception & Psychophysics, 7 (2): 103–107, doi:10...
25 KB (3,187 words) - 10:11, 23 August 2024
Vector database (category Machine learning)
feature vectors close to each other. Vector databases can be used for similarity search, semantic search, multi-modal search, recommendations engines,...
20 KB (1,510 words) - 21:56, 1 September 2024
Competitive learning is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of...
6 KB (774 words) - 14:48, 6 May 2024
Gestalt psychology (redirect from Law of Similarity)
similarity states that elements within an assortment of objects are perceptually grouped together if they are similar to each other. This similarity can...
53 KB (6,194 words) - 12:53, 1 September 2024
association are contiguity, repetition, attention, pleasure-pain, and similarity. The basic laws were formulated by Aristotle in approximately 300 B.C...
1 KB (91 words) - 06:09, 13 June 2023