PDF Ebook about: Machine Learning Algorithms
Machine Learning Algorithms
List of ebooks and manuals about Machine Learning Algorithms
50 documents available in our comprehensive collection of Machine Learning Algorithms resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Dual-Tree Algorithms (curtin13.pdf)
351 KBEN 9 pages
Dual-tree algorithms are a class of branch-and-bound algorithms used in machine learning, but developing them for different trees and problems is complex
Soil Carbon Prediction (soil-8-587-2022.pdf)
18.03 MBEN 18 pages
Machine learning algorithms were applied to predict organic carbon in German agricultural topsoil, with support vector machine for regression (SVR) performing
https://amt.copernicus.org/preprints/amt-2022-33/amt-2022-33-AC1-supplement.pdf (amt-2022-33-AC1-supplement.pdf)
143 KBEN 5 pages
The authors respond to referee comments on their manuscript, addressing issues with data handling, reproducibility, choice of machine learning algorithms,
Iris Species Identification (IRJET-V10I175.pdf)
4.92 MBEN 5 pages
The study uses machine learning algorithms to identify different species of iris flowers, specifically Versicolor, Setosa, and Virginica, using the Iris
Sales Prediction Model (F99160511622.pdf)
368 KBEN 7 pages
A machine learning approach is proposed for a Big-Mart sales prediction framework, utilizing algorithms such as GLL, GBT, and Decision Trees to identify a
Bias in AI Systems (1908.09635.pdf)
1.63 MBEN 34 pages
Machine learning algorithms are vulnerable to biases, rendering their decisions unfair, with examples including a tool used by US courts to make pretrial
https://www.jmlr.org/papers/volume11/cawley10a/cawley10a.pdf (cawley10a.pdf)
741 KBEN 29 pages
Model selection strategies for machine learning algorithms can lead to over-fitting, resulting in poor generalisation performance, and subsequent selection bias
Uncertainty Detection (__penelope_MCSUsers_Staff_hy237_hy237_Research_Research_Paper_Unpublished_Assertion_RE12_Camera_ready_re12main-p027-yang-10688-submitted.pdf)
226 KBEN 10 pages
Researchers propose a linguistically-oriented approach to automatically detect uncertainty in natural language requirements, using a machine learning algorithm
From External to internal regret (Section 7) (blum07a.pdf)
159 KBEN 18 pages
Journal of Machine Learning Research 8 (2007) 1307-1324:
Avrim Blum and Yishay Mansour present a simple generic reduction to convert an algorithm for the
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Impact of Automatic Segmentation on Intralingual Subtitle Quality, Productivity, and Editing Effort (L16-1487.pdf)
138 KBEN 5 pages
Machine learning algorithms outperform traditional techniques, improving overall efficiency
Read more (7943f7078c702bba7d38c7663f8b6a3705593655.pdf)
706 KBEN 1 page
The project, funded by the European Union's Horizon 2020, has developed a set of tools for integrated ecosystem assessments (IEA) using the programming...
Data Mining Fundamentals (Lecture_15_MLandDMintro_03_09_2015.pdf)
49 KBEN 3 pages
Machine learning and data mining are two subfields of computer science that find patterns in data
Learning Expressive Linkage Rules for Entity Matching using Genetic Programming (Isele_Dissertation.pdf)
7.82 MBEN 224 pages
This thesis proposes novel methods for entity matching, covering the complete workflow from generating linkage rules using genetic programming algorithms to
Fetal Health Classification (12122cseij05.pdf)
613 KBEN 8 pages
Fetal health classification techniques are crucial for early detection of abnormalities. Cardiotocography (CTG) monitors fetal heart rate to ensure well-being. Early detection provides valuable insights and preparation time.
A boosting-inspired personalized thresholding method for sepsis screening (p_FGKM_2019.pdf)
1.49 MBEN 22 pages
Researchers propose a personalized threshold method for sepsis screening, inspired by boosting, a machine learning technique
Download Leaflet (mlaijleaflet.pdf)
543 KBEN 7 pages
An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles on machine learning and its applications
Big data against money laundering_ machine learning, financial applications and regulationsZDNet (Big-data-against-money-laundering_-machine-learning-financial-applications-and-regulationsZDNet.pdf)
2.96 MBEN 14 pages
Big data and machine learning can be used to predict and prevent financial fraud, such as money laundering
PDF (CaeCheLeSmo07.pdf)
470 KBEN 8 pages
Graph matching is a fundamental problem in pattern recognition, where patterns are modeled as graphs and recognition involves finding a correspondence between...
MUCAA Project Report (MUCCA-RO_ P5 Report II_RO.pdf)
2.54 MBEN 23 pages
Investigating air flow near trachea walls with deformable viscoelastic mucus.
The study aims to model and quantify air-mucus interaction in confined geometry.
Research focuses on determining mucus influence on air flow.
Sherpa Optimization (2005.04048.pdf)
1.75 MBEN 23 pages
Sherpa is a hyperparameter optimization library for machine learning models, designed for computationally expensive function evaluations, such as deep neural
Top 10 Data Mining Algorithms: A Survey (10Algorithms-08.pdf)
783 KBEN 37 pages
This survey paper identifies and discusses the top 10 most influential data mining algorithms, including C4
Road Condition Prediction (modeling-of-a-road-condition-estimator-using-machine-learning.pdf)
1.76 MBEN 16 pages
Development of a machine learning model using Simulink to classify road conditions, with the goal of predicting tire life, vehicle durability, and fuel economy
Model Risk Management (deloitte_artificial-intelligence-credit-risk.pdf)
6.96 MBEN 9 pages
Post 2008 crisis, Paul Willmott and Emmanuel Derman pointed out the major challenges of financial institutions, emphasizing the need for transparency and...
AI Trauma Search Strategy (40779_2023_444_MOESM1_ESM.pdf)
513 KBEN 39 pages
Artificial intelligence and machine learning are used to predict various problems in hemorrhagic trauma care
2022-2023 (IT-SF-STAFF-ACT-2022-2023.pdf)
152 KBEN 2 pages
Usha Nandhini attended 7 events and presented 2 papers: "Machine Learning And IoT In Agriculture – A Review" and "Analyzing the Impact of feature selection
SkillsVue – Europe (skillsvue_europe_brochure.pdf)
942 KBEN 4 pages
SkillsVue – Europe provides market-leading insights on digital skills, helping organizations create a competitive edge in the European market for digital...
Type-1 and Type-0 Languages: Closure & Decidability (theory-c08-handout.pdf)
189 KBEN 19 pages
This document explores the contrast between Turing machines and grammars, focusing on closure properties and decidability in Type-1 and Type-0 languages within computer science theory
now famous paper (acl2001.pdf)
49 KBEN 8 pages
Michele Banko and Eric Brill of Microsoft Research evaluated the performance of different learning methods on a natural language disambiguation task, confusion
Misinformation Detection (14322ijcsit03.pdf)
890 KBEN 10 pages
Machine learning and semantic analysis are combined to detect misinformation in Arabic COVID-19 tweets
Pareto Optimization for Subset Selection: Theories and Practical Algorithms (5_Pareto-Optimization-for-Subset-Selection.pdf)
122 KBEN 2 pages
Pareto optimization is a framework for solving single-objective optimization problems using multi-objective evolutionary optimization, with applications in...
Scaling to Very Very Large Corpora for Natural Language Disambiguation (P01-1005.pdf)
47 KBEN 8 pages
Michele Banko and Eric Brill of Microsoft Research evaluated the performance of different learning methods on a natural language disambiguation task, confusion
AI4Media: WP3 New Learning Paradigms Update (download.php)
3.79 MBEN 197 pages
This deliverable reports on intermediate outcomes of new learning paradigms research in the AI4Media project
proceedings.mlr.press/v28/wauthier13.pdf (wauthier13.pdf)
469 KBEN 9 pages
The ranking of n objects based on pairwise comparisons is a core machine learning problem, arising in recommender systems, ad placement, player ranking,
Liu et al. (2019) (1908.03265.pdf)
2.74 MBEN 14 pages
Researchers identify the variance issue of the adaptive learning rate in stochastic optimization algorithms like Adam and RMSprop, which can lead to
Machine Learning (L11.2-prob-models-em.pdf)
945 KBEN 20 pages
The content covers machine learning and data mining, including unsupervised and supervised learning, probabilistic modeling, and expectation maximization
Flood Prediction Models (s41598-018-33755-7.pdf)
4.94 MBEN 14 pages
Researchers developed two novel hybrid evolutionary algorithms, ANFIS-ICA and ANFIS-FA, for spatial prediction of floods in the Haraz watershed, Iran, using 10
Semi-Supervised Interactive Algorithm for Change Point Detection using OCSVM (23-14.pdf)
1.36 MBEN 30 pages
The paper presents a semi-supervised interactive algorithm for change point detection, aiming to identify abrupt changes in signals or time series, addressing a critical task with limited state-of-the-art supervised approaches.
Structural Health Monitoring solutions for wind turbine lifecycle (Press_Release_Inalia.pdf)
1.48 MBEN 7 pages
Structural Health Monitoring solutions utilize physical data measurement and digital twins to provide added value, offering services such as commissioning,...
Deep Learning Density Functionals (MWS_MAR16-2015-008347.pdf)
16 KBEN 1 page
Density-functional theory is a formally exact description of a many-body quantum system in terms of its density; approximations to the universal density...
Three Schools Computing Curriculum Map (KS1-2): From Basic Skills to Programming with Scratch Jr. (computing-overview-ks1.pdf)
126 KBEN 1 page
Document en en
Candidate Profile Form (N_19_2021_DEMETRIO_LUCA.pdf)
138 KBEN 2 pages
Luca Demetrio, nato il 25/01/1993, presenta il proprio curriculum con esperienze professionali, istruzione e formazione, tra cui una laurea magistrale in...
AI-Augmented Analytics (The-role-of-AI-Augmented-Analytics-in-Business-Intelligence.pdf)
1.19 MBEN 8 pages
Augmented analytics, powered by artificial intelligence, enhances organizational efficiency by reducing reliance on data scientists and manual processes, and...
Presentation Slides • (2023nov14-Audit-and-AI.pdf)
2.2 MBEN 23 pages
Dave Mahoney, Director of Security and Privacy Risk at RSM, has over 20 years of experience in cyber information technology and provides technology and...
Semantic Correspondence as an Optimal Transport Problem (Liu_Semantic_Correspondence_as_an_Optimal_Transport_Problem_CVPR_2020_paper.pdf)
1.18 MBEN 10 pages
Establishing dense correspondences across semantically similar images is a challenging task due to large intra-class variation and background clutter, leading...
COVID-19 Data Response (20200401 Health climate social science.pdf)
525 KBEN 2 pages
The COVID-19 emergency presents a unique opportunity for data repositories to address the crisis, with FAIRsFAIR partners playing a strategic role in...
Download CV (CV_francesco_immorlano_AT.pdf)
173 KBEN 3 pages
Francesco Immorlano is a Postdoctoral Researcher at the University of California, Irvine, and the Learning the Earth with Artificial Intelligence and Physics
Download Published Version (PDF / 2MB) (A machine learns.pdf)
2.75 MBEN 16 pages
A machine learning approach is used to correct radial velocities using physical observables, aiming to reduce spurious Doppler variability caused by stellar
Concept Learning (lehmann-hitzler-MLJ-2010.pdf)
1.05 MBEN 48 pages
A learning algorithm based on refinement operators is developed for ALCQ
Counterfactual Explainers (101.pdf)
607 KBEN 12 pages
Counterfactual explanations help end-users understand how a Machine Learning model outcome could be changed to a more desirable outcome by identifying
https://arxiv.org/pdf/1711.03536.pdf (1711.03536.pdf)
8.34 MBEN 24 pages
The approach quantifies individual stroke characteristics, such as shape, tone, and length, and uses machine learning techniques to compare them to a large
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