Probabilistic networks

Part 2 book "The electric power engineering handbook - Power systems" includes content: Planning environments, short term load and price forecasting with artificial neural networks - transmission plan evaluation, assessment of system reliability, power system planning, power system reliability, probabilistic methods for planning and operational analysis, engineering principles of electricity pricing, business essentials,... and other contents.

299p dianmotminh03 17-06-2024 0 0   Download

The rapid growth of electronic communication means that issues in information security are of increasing practical importance. Messages exchanged over worldwide publicly accessible computer networks must be kept confidential and protected against manipulation. Electronic business requires digital signatures that are valid in law, and secure payment protocols. Modern cryptography provides solutions to all these problems. This book originates from courses given for students in computer science at the Georg-Simon-Ohm University of Applied Sciences, Nurnberg.

372p zizaybay1103 29-05-2024 5 2   Download

Ebook "Methods of microarray data analysis V" provides readers with contents including: data mining of malaria parasite gene expression for possible translational research; constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle; simple methods for peak and valley detection in time series microarray data;...

186p tachieuhoa 28-01-2024 5 2   Download

Ebook "Machine learning and its applications" includes content: Comparing machine learning and knowledge discovery in databases -- an application to knowledge discovery in texts, unsupervised learning of probabilistic concept hierarchies, function decomposition in machine learning, case based reasoning,...and other contents.

334p haojiubujain07 20-09-2023 6 3   Download

Ebook "Machine learning in computer vision" includes content: Introduction, probabilistic classifiers, generalization bounds, semi supervised learning, maximum likelihood minimum entropy hmm, margin distribution optimization, learning the structure of bayesian network classifiers, office activity recognition, multimodal event detection, facial expression recognition, bayesian network classifiers for face detection.

249p haojiubujain07 20-09-2023 4 3   Download

Ebook "Judea pearl - Probabilistic reasoning in intelligent systems" includes content: Uncertainty in ai systems - an overview, bayesian inference, markov and bayesian networks - two graphical representations of probabilistic knowledge, belief updating by network propagation,...and other contents.

557p haojiubujain07 20-09-2023 7 3   Download

Continued part 1, part 2 of ebook "Computing handbook: Computer science and software engineering" provides readers with contents including: natural language processing; understanding spoken language; neural networks; cognitive modeling; graphical models for probabilistic and causal reasoning; network organization and topologies; routing protocols; access control; data compression; localization in underwater acoustic sensor networks; semantic web; thread management for shared-memory multiprocessors;...

1154p hanlinhchi 29-08-2023 6 4   Download

Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.

319p viironman 02-06-2023 9 5   Download

This paper presents a method to distinguish transients arising out of isolated capacitor switching, back-toback capacitor switching, prestrike capacitor switching, restrike capacitor switching and voltage magnification.

7p vidoctorstrange 06-05-2023 4 2   Download

In this article, deep learning probabilistic models are applied to a case study on evaluating the influence of specialized mini projects (SMPs) on the performance of engineering students on their final year project (FYP) and cumulative grade point average (CGPA).

6p vimalfoy 08-02-2023 5 2   Download

Speaker diarization is the method of dividing a conversation into segments spoken by the same speaker, usually referred to as “who spoke when”. This paper describes our experiment with speaker diarization system built upon DNNs embeddings.

3p vipriyankagandhi 27-07-2022 3 2   Download

This book "Data mining: Concepts and Techniques (Third edition)" is an extensive and detailed guide to the principal ideas, techniques and technologies of data mining. The book is organised in 13 substantial chapters, each of which is essentially standalone, but with useful references to the book’s coverage of underlying concepts. Please refer to the content of part 2 of book.

377p britaikridanik 05-07-2022 18 5   Download

This paper suggests a solution to multi-connectivity deployment WSN coverage based on combining Sailfish optimizer (SFO) with the characteristic of 3D surface topography. The target area divided into mesh grids of a size to establish the multiconnectivity of every grid. The cover set constructed through the direction gradient probabilistic model and connected graph and the joint points to graph within the grid by optimizing SFO.

9p linyanjun_2408 21-04-2022 11 3   Download

Metastatic progress is the primary cause of death in most cancers, yet the regulatory dynamics driving the cellular changes necessary for metastasis remain poorly understood. Multi-omics approaches hold great promise for addressing this challenge; however, current analysis tools have limited capabilities to systematically integrate transcriptomic, epigenomic, and cistromic information to accurately define the regulatory networks critical for metastasis.

28p viarchimedes 26-01-2022 11 0   Download

Lecture Biomedical Signal Processing and Modeling: Pattern Classification and Diagnostic Decision - Nguyen Cong Phuong provide students with knowledge about introduction; pattern classification; supervised pattern classification; unsupervised pattern classification; probabilistic models and statistical decision; logistic regression analysis; neural networks;...

66p tanmocphong 19-01-2022 11 0   Download

Single-cell gene expression measurements offer opportunities in deriving mechanistic understanding of complex diseases, including cancer. However, due to the complex regulatory machinery of the cell, gene regulatory network (GRN) model inference based on such data still manifests significant uncertainty.

11p visilicon2711 20-08-2021 6 1   Download

Reference genome and transcriptome assemblies of helminths have reached a level of completion whereby secondary analyses that rely on accurate gene estimation or syntenic relationships can be now conducted with a high level of confidence.

22p vijeeni2711 24-07-2021 18 0   Download

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers. Moreover, corresponding confidence intervals of predicted values are also available owing to the probabilistic nature of the method, thus helping engineers design conservative solutions.

11p chauchaungayxua12 09-07-2021 19 2   Download

The research provides answers to the above questions with probabilistic approaches and tools to assess the impacts of risk factors on software project scheduling; proposing list of common risk factors and Bayesian Network model of these risk factors; and proposing advanced scheduling methods based on incorporating Bayesian Networks into popular scheduling techniques such as CPM, PERT or agile iteration scheduling etc. Bayesian Networks help quantify the factors, and hence help better manage them as well as enhancing the predictability of things happen in the project.

132p nguaconbaynhay12 18-06-2021 12 2   Download

This paper discusses detection of brand crisis on online social media, i.e. when a brand is being suffered from unexpectedly high frequency of negative comments on online channels such as social networks, electronic news, blog and forum. In order to do so, we combined the usage of probabilistic model for burst detection with ontology-based aspect-level sentiment analysis technique to detect negative mention.

10p trinhthamhodang9 04-12-2020 14 4   Download