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Active Learning with Statistical Models
1996
The Journal of Artificial Intelligence Research
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For many types of machine learning algorithms, one can compute the statistically 'optimal' way to select training data. ...
We then show how the same principles may be used to select data for two alternative, statistically-based learning architectures: mixtures of Gaussians and locally weighted regression. ...
Active Learning with a Mixture of Gaussians In the context of active learning, we are assuming that the input distribution Px is known. ...
doi:10.1613/jair.295
fatcat:ztbqjitjvbgsppwe6xuibslfly
Active Learning with Statistical Models
[article]
1996
arXiv
pre-print
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For many types of machine learning algorithms, one can compute the statistically 'optimal' way to select training data. ...
We then show how the same principles may be used to select data for two alternative, statistically-based learning architectures: mixtures of Gaussians and locally weighted regression. ...
Active Learning with a Mixture of Gaussians In the context of active learning, we are assuming that the input distribution P(x) is known. ...
arXiv:cs/9603104v1
fatcat:vs5sfumj3rcs5dtmknidcdhz6a
Statistical Hardware Design With Multi-model Active Learning
[article]
2023
arXiv
pre-print
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We also use transfer learning and Gaussian regression bootstrapping techniques in conjunction with active learning to create more accurate models. ...
One promising approach to tackle this problem is statistical modeling of a desired hardware performance. Here, we propose a model-based active learning approach to solve this problem. ...
Statistical modeling of hardware using Multi-model Bayesian Active Learning. ...
arXiv:2303.08054v4
fatcat:yx6gcbjyt5bxtph5fonycbphxi
Detecting Wikipedia vandalism with active learning and statistical language models
2010
Proceedings of the 4th workshop on Information credibility - WICOW '10
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This paper proposes an active learning approach using language model statistics to detect Wikipedia vandalism. Wikipedia is a popular and influential collaborative information system. ...
In addition, the paper adopts an active learning model to solve the problem of noisy and incomplete labeling of Wikipedia vandalism. ...
We use a supervised active learning model to address this challenge. ...
doi:10.1145/1772938.1772942
dblp:conf/www/ChinSSE10
fatcat:bl5oouaqcra2ph4ns4wj4blgdu
Development of Humanistic Statistics Learning Devices Based one Inquiry and Mind Mapping Models
2018
Al-Jabar: Jurnal Pendidikan Matematika
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Implementation of the development and humanistic statistics learning tool trials using Inquiry and Mind Mapping learning model show that learning tools used in statistical learning activities were practical ...
The improvement of statistical problem-solving on Inquiry learning model is better than humanistic statistics learning using Mind Mapping learning model. ...
Statistical learning with humanistic approach has characteristics for statistical reinventing activities. ...
doi:10.24042/ajpm.v9i1.2341
fatcat:faibedht6rc6jb2e56iqyas57m
Discovery Learning Model and Props of Statistical Kenik In Improving The Mathematical Communication Ability of Junior High School Students
2019
Journal of innovative mathematics learning
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compared to students who use ordinary learning, and student activities during learning using discovery learning models and props of statistical kenik to take place. ...
The experimental group obtained learning with discovery learning models and props of statistical kenik and control groups obtained regular learning. ...
model assisstance with statistical cenic with those usual learning activity) HA: µ1 > µ2 (The increase of students mathematical communication ability which is used the discovery learning model assisstance ...
doi:10.22460/jiml.v2i1.p29-38
fatcat:bt74m2uqsfhwtk6mm6gedkr5iq
Active Statistical Map Cartography Method Based on Knowledge Learning
2016
DEStech Transactions on Engineering and Technology Research
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In this paper, based on knowledge learning active statistical cartographic model, in inducing summary based on the statistical cartographic user demand, put forward from the user mapping needs to mapping ...
scheme to solve the model, and discusses the realization method of active statistic cartography. ...
Active push
Yes
No
Knowledge Management And Learning of Active Statistical Map Drawing
Statistical Map Knowledge Categories ...
doi:10.12783/dtetr/iect2016/3739
fatcat:tnt4kgfvkzd6hcwpqtfqrqqkle
Effectiveness of Learning Application of Video Assisted Flipped Classroom Model in Integral Calculus Course
2020
Journal of Applied Science Engineering Technology and Education
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In general, it can be concluded that implementation flipped classroom learning model-assisted videos has an effect on mathematics learning. ...
The effectiveness of learning can be measured based on the results of students' learning achievement, students' activity, and students' responses after the implementation of learning. ...
Results and Discussion The study was conducted with 4 meetings, 2 meetings with the administration of video-assisted flipped classroom learning models, and 2 meetings with the administration of posttest ...
doi:10.35877/454ri.asci2144
fatcat:qqb6363kjjeg5pludz4jk6bllu
Effect of The Model Application Setting Interactive Learning Cooperative Learning with Concern Interest And Capability to Initial Student Learning Outcomes Grade X MIA SMA State 2 Pangkajene
2020
MATEMATIKA DAN PEMBELAJARAN
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learning model are categorized as moderate with an average score of 80.52 with a standard deviation of 9.901 from an ideal score of 100. ...
While the results of statistical analysis show that the learning outcomes of students of class X MIA Ki Hajar Dewantara of SMA Negeri 2 Pangkajene taught using conventional learning models are categorized ...
Effect of The Model Application Setting Interactive Learning Cooperative Learning with... ...
doi:10.33477/mp.v7i2.1151
fatcat:fzzxsrniebfqnhbcs7uhlpxvue
The Usage of Statistical Learning Methods on Wearable Devices and a Case Study: Activity Recognition on Smartwatches
[chapter]
2017
Advances in Statistical Methodologies and Their Application to Real Problems
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The aim of this study is to explore the usage of statistical learning methods on wearable devices and realize an experimental study for recognition of human activities by using smartwatch sensor data. ...
Created dataset was tested with five different statistical learning methods (Naive Bayes, k nearest neighbour (kNN), logistic regression, Bayesian network and multilayer perceptron) and their performances ...
Statistical learning methods are generally used in activity recognition studies. Statistical learning refers to a set of tools for modelling and understanding complex datasets. ...
doi:10.5772/66213
fatcat:kvkvl4yqlzbard3xiy2a56itjy
The The Effect of TPS-Type Cooperative Learning Model on Student Learning Motivation at STIMI Meulaboh
2021
Jurnal Inotera
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Therefore, it can be said that the TPS type of cooperative learning model is feasible to be used in the Economics I statistics learning process in the classroom to improve students' understanding and quality ...
The results of this study are the TPS type cooperative learning model has an effect on students' learning motivation. ...
Furthermore, [5] states that the cooperative learning model is a form of learning activity in which students learn and work in collaborative small groups consisting of four to six people with a heterogeneous ...
doi:10.31572/inotera.vol6.iss2.2021.id154
fatcat:gw3466jj2nd3hocccw2wglo2nu
Effective Physical Education Distance Learning Models during the Covid-19 Epidemic
2021
Center for Educational Policy Studies Journal
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A statistically significantly less efficient version of the flipped learning teaching model had prepared interactive assignments and games. ...
Then they also actively participated with their ideas in the performance of the online lesson. ...
with each of the others) and which PE distance learning models were statistically significantly the most effective according to our quality indicator (pupils' activity level). ...
doi:10.26529/cepsj.1118
fatcat:w7uda2baevhyppb35oi4txnyia
The Effect of 5E-Learning Cycle Model Using Animation Media on the Learning Activity and Learning Outcomes of Students in Senior High School Class XI on Salt Hydrolysis Material
2022
Proceedings Series on Physical & Formal Sciences
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of class XI on salt hydrolysis and student learning activity taught by learning model 5E learning cycle using animation media equal to 64,88%, higher than the student learning activity taught by direct ...
The aim of this study is to determine the effect of learning model 5E learning cycle on learning activities and student learning outcomes on salt hydrolysis material. ...
In addition to using animation media, 5E learning cycle learning model in this study also comes with student activity sheet (LKS). ...
doi:10.30595/pspfs.v3i.264
fatcat:sigfinyg3vfnxk6lgu2pewws5y
Effect of Internet-Based Cognitive Apprenticeship Model (i-CAM) on Statistics Learning among Postgraduate Students
2015
PLoS ONE
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In a cognitive apprenticeship learning model, skills are learned within a community of practitioners through observation of modelling and then practice plus coaching. ...
Because students' ability to use statistics, which is mathematical in nature, is one of the concerns of educators, embedding within an e-learning system the pedagogical characteristics of learning is ' ...
This phase of the treatment consisted of a series of activities designed to be consistent with the characteristics of modelling and coaching. ...
doi:10.1371/journal.pone.0129938
pmid:26132553
pmcid:PMC4488879
fatcat:gt4czwxhkvdmjamyatp3lewaxm
What's statistical about learning? Insights from modelling statistical learning as a set of memory processes
2016
Philosophical Transactions of the Royal Society of London. Biological Sciences
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One contribution of 13 to a theme issue 'New frontiers for statistical learning in the cognitive sciences'. ...
This modelling framework is rooted in the assumption that statistical learning arises from processes endemic to memory such as activation, interference and decay. ...
This is consistent with modelling work, which-as discussed above-has largely suggested that a memory-based approach to statistical learning accounts for a wider variety of data than models based on transitional ...
doi:10.1098/rstb.2016.0056
pmid:27872374
pmcid:PMC5124081
fatcat:hsbqqhrkxnfbbgwoiseb6tbzcu
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