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searching for Labeled data 48 found (58 total)

alternate case: labeled data

Co-training (831 words) [view diff] exact match in snippet view article find links to article

machine learning algorithm used when there are only small amounts of labeled data and large amounts of unlabeled data. One of its uses is in text mining
Feature learning (5,077 words) [view diff] exact match in snippet view article find links to article
supervised feature learning, features are learned using labeled input data. Labeled data includes input-label pairs where the input is given to the model and
Data stream mining (1,363 words) [view diff] exact match in snippet view article find links to article
applying machine learning to streaming data include: partially and delayed labeled data, recovery from concept drifts, and temporal dependencies. Examples of
Principles of Compiler Design (251 words) [view diff] no match in snippet view article find links to article
generator" and "Syntax Directed Translation" respectively, and rides a horse labeled "Data Flow Analysis". The book may be called the "green dragon book" to distinguish
VoTT (274 words) [view diff] exact match in snippet view article find links to article
data from local or cloud storage providers, and support for exporting labeled data to local or cloud storage providers. Labeled assets can be exported into
Vowpal Wabbit (406 words) [view diff] exact match in snippet view article find links to article
(both binary and multi-class) Regression Active learning (partially labeled data) for both regression and classification Multiple learning algorithms
Active learning (machine learning) (2,358 words) [view diff] exact match in snippet view article
and it does not capitalize as efficiently on the presence of already labeled data. Therefore, the teacher is likely to spend more effort in supplying labels
Learning to rank (3,789 words) [view diff] case mismatch in snippet view article find links to article
Wayback Machine Kevin K. Duh (2009), Learning to Rank with Partially-Labeled Data (PDF), archived (PDF) from the original on 2011-07-20, retrieved 2009-12-27
Web query classification (1,147 words) [view diff] exact match in snippet view article find links to article
classification approaches including exact-match using labeled data, N-Gram match using labeled data and classifiers based on perception. They emphasize
Conformal prediction (2,257 words) [view diff] exact match in snippet view article find links to article
of the data. CP works by computing nonconformity scores on previously labeled data, and using these to create prediction sets on a new (unlabeled) test
Neutral density (1,995 words) [view diff] exact match in snippet view article find links to article
interpolate the labeled data in terms of spatial location and hydrography. By taking a weighted average of the four closest casts from the labeled data set, it
Peter Norvig (1,201 words) [view diff] exact match in snippet view article find links to article
unsupervised learning on unlabeled data, which is so much more plentiful than labeled data.": 12  The title refers to the physicist Eugene Wigner's 1960 journal
Computational biology (3,782 words) [view diff] exact match in snippet view article find links to article
networks. Supervised learning is a type of algorithm that learns from labeled data and learns how to assign labels to future data that is unlabeled. In
Hierarchical clustering (2,895 words) [view diff] case mismatch in snippet view article find links to article
Clutter Reduction through Hierarchy-based Projection of High-dimensional Labeled Data (PDF). Graphics Interface. Graphics Interface. doi:10.20380/gi2016.14
K-medoids (1,418 words) [view diff] case mismatch in snippet view article find links to article
Clutter Reduction through Hierarchy-based Projection of High-dimensional Labeled Data (PDF). Graphics Interface. Graphics Interface. doi:10.20380/gi2016.14
GPT-3 (4,913 words) [view diff] exact match in snippet view article find links to article
commonly employed supervised learning from large amounts of manually-labeled data, which made it prohibitively expensive and time-consuming to train extremely
Heat map (2,954 words) [view diff] no match in snippet view article find links to article
field of biology or bioinformatics. The two heat maps to the right, labeled "Data Analysis Heat Map Example," show different ways in which one may present
Text mining (4,493 words) [view diff] exact match in snippet view article find links to article
how favorable a review is for the product. Such an analysis may need a labeled data set or labeling of the affectivity of words. Resources for affectivity
Machine learning (14,683 words) [view diff] exact match in snippet view article find links to article
that unlabeled data, when used in conjunction with a small amount of labeled data, can produce a considerable improvement in learning accuracy. In weakly
Moons of Uranus (4,651 words) [view diff] no match in snippet view article find links to article
The relative sizes of moons are indicated by the size of their symbols, and the Caliban group of Uranian moons is labeled. Data as of February 2024.
Karen Spärck Jones Award (368 words) [view diff] case mismatch in snippet view article find links to article
and Recommendation” 2020: Ahmed H. Awadallah : “Learning with Limited Labeled Data: The Role of User Interactions” 2021: Ivan Vulić : “Towards Language
Naive Bayes classifier (5,489 words) [view diff] exact match in snippet view article find links to article
truncated to one. Given a way to train a naive Bayes classifier from labeled data, it's possible to construct a semi-supervised training algorithm that
Moons of Neptune (4,548 words) [view diff] no match in snippet view article find links to article
relative sizes of moons are indicated by the size of their symbols, and the Sao and Neso groups of Neptunian moons are labeled. Data as of February 2024.
K-means clustering (7,688 words) [view diff] exact match in snippet view article find links to article
restricted Boltzmann machines, albeit with a greater requirement for labeled data. Recent advancements in the application of k-means clustering include
GPT-1 (1,064 words) [view diff] exact match in snippet view article find links to article
primarily employed supervised learning from large amounts of manually labeled data. This reliance on supervised learning limited their use of datasets that
Support vector machine (8,914 words) [view diff] exact match in snippet view article find links to article
vector machines extend SVMs in that they could also treat partially labeled data in semi-supervised learning by following the principles of transduction
Forecasting (5,233 words) [view diff] case mismatch in snippet view article find links to article
machines Often these are done today by specialized programs loosely labeled Data mining Machine learning Pattern recognition Can be created with 3 points
One-class classification (2,314 words) [view diff] exact match in snippet view article find links to article
biomedical data it can be difficult and/or expensive to obtain the set of labeled data from the second class that would be necessary to perform a two-class
Boltzmann machine (3,927 words) [view diff] exact match in snippet view article find links to article
input in tasks such as object or speech recognition, using limited, labeled data to fine-tune the representations built using a large set of unlabeled
Multi-label classification (2,945 words) [view diff] exact match in snippet view article find links to article
entropy calculations. MMC, MMDT, and SSC refined MMDT, can classify multi-labeled data based on multi-valued attributes without transforming the attributes
Biomedical text mining (6,752 words) [view diff] exact match in snippet view article find links to article
SwellShark is a framework for biomedical NER that requires no human-labeled data but does make use of resources for weak supervision (e.g., UMLS semantic
Manifold regularization (3,872 words) [view diff] exact match in snippet view article find links to article
data when labeled data (black and white circles) are sparse, by taking advantage of unlabeled data (gray circles). Without many labeled data points, supervised
Causal inference (4,407 words) [view diff] exact match in snippet view article find links to article
methods attempt to discover causal "footprints" from large amounts of labeled data, and allow the prediction of more flexible causal relations. The social
Domain adaptation (1,594 words) [view diff] exact match in snippet view article find links to article
target user when deployed. Applying AI diagnostic algorithms, trained on labeled data associated with previous diseases, to new unlabeled data associated with
Energy distance (2,316 words) [view diff] exact match in snippet view article find links to article
Kim; Caren Marzban; Donald B. Percival; Werner Stuetzle (2009). "Using labeled data to evaluate change detectors in a multivariate streaming environment"
Multiple kernel learning (2,856 words) [view diff] exact match in snippet view article find links to article
follows. Let L = ( x i , y i ) {\displaystyle L={(x_{i},y_{i})}} be the labeled data, and let U = x i {\displaystyle U={x_{i}}} be the set of unlabeled data
Vanishing gradient problem (3,779 words) [view diff] exact match in snippet view article find links to article
network is trained further by supervised backpropagation to classify labeled data. The deep belief network model by Hinton et al. (2006) involves learning
Constrained conditional model (1,502 words) [view diff] exact match in snippet view article find links to article
a correct representation is inherently ill-defined, no gold-standard labeled data regarding the representation decision is available to the learner. Identifying
Machine learning in bioinformatics (8,080 words) [view diff] exact match in snippet view article find links to article
(such as genomes of unculturable bacteria) based on a model of already labeled data. Hidden Markov models (HMMs) are a class of statistical models for sequential
List of datasets for machine-learning research (13,232 words) [view diff] exact match in snippet view article find links to article
Mintz, Mike, et al. "Distant supervision for relation extraction without labeled data." Proceedings of the Joint Conference of the 47th Annual Meeting of the
Kernel Fisher discriminant analysis (3,670 words) [view diff] exact match in snippet view article find links to article
a projection where class separation is maximized. Given two sets of labeled data, C 1 {\displaystyle \mathbf {C} _{1}} and C 2 {\displaystyle \mathbf
Global Connectivity Index (1,225 words) [view diff] exact match in snippet view article find links to article
whether a country has met the three preconditions for AI: computing power, labeled data and algorithms.    2017 The law of increasing returns for ICT infrastructure
Vasant Honavar (8,149 words) [view diff] case mismatch in snippet view article find links to article
FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. In: Proceedings of the Network and Distributed System Security Symposium
S/2023 U 1 (1,128 words) [view diff] no match in snippet view article find links to article
The relative sizes of moons are indicated by the size of their symbols, and the Caliban group of Uranian moons is labeled. Data as of February 2024.
S/2002 N 5 (1,360 words) [view diff] no match in snippet view article find links to article
relative sizes of moons are indicated by the size of their symbols, and the Sao and Neso groups of Neptunian moons are labeled. Data as of February 2024.
S/2021 N 1 (1,753 words) [view diff] no match in snippet view article find links to article
relative sizes of moons are indicated by the size of their symbols, and the Sao and Neso groups of Neptunian moons are labeled. Data as of February 2024.
Edward Y. Chang (2,488 words) [view diff] exact match in snippet view article find links to article
Together with Simon Tong, his SVMActive work addressed the shortage of labeled data available for classifier training in applications such as the healthcare
Generative pre-trained transformer (4,093 words) [view diff] exact match in snippet view article find links to article
commonly employed supervised learning from large amounts of manually-labeled data. The reliance on supervised learning limited their use on datasets that