Bayesian networks

Poly (ADP- ribose) polymerase inhibitors (PARPi) has been increasingly adopted for metastatic castration-resistance prostate cancer (mCRPC) patients with homologous recombination repair deficiency (HRD). However, it is unclear which PARPi is optimal in mCRPC patients with HRD in 2nd -line setting.

10p vikoch 27-06-2024 1 1   Download

This paper presents the state of the arts in security risk assessment of web systems. The process of assessing security risks and the process of developing and operating information systems in general, web systems in particular, are depicted step by step, showing how the risk assessment is performed during the deployment and the operation of web systems.

14p visystrom 22-11-2023 11 4   Download

Ebook "Computational Intelligence in Control" contains 4 sections, includes: Section I: neural networks design, control and robotics application; section II: hybrid evolutionary systems for modelling, control and robotics applications; section III: fuzzy logic and bayesian systems; section IV: machine learning, evolutionary optimisation and information retrieval.

346p haojiubujain08 01-11-2023 5 2   Download

In this study, an artificial neural network-based Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.

13p visharma 20-10-2023 5 4   Download

Ebook "Dynamic bayesian networks - Representation, inference and learning" includes content: Introduction, DBNs - Representation, exact inference in DBNs, approximate inference in DBNs - Deterministic algorithms, approximate inference in DBNs - Stochastic algorithms, DBNs - learning.

223p haojiubujain07 20-09-2023 8 4   Download

Ebook "Data mining methods and models" includes content: Dimension reduction methods, regression modeling, multiple regression and model building, logistic regression, naive bayes estimation and bayesian networks, genetic algorithms, case study - modeling response to direct mail marketing,...and other contents.

340p haojiubujain07 20-09-2023 6 3   Download

Ebook "Machine learning" includes content: Introduction, concept learning and the general to specific ordering; decision tree learning; artificial neural networks; evaluating hypotheses; bayesian learning; computational learning theory; instance based learning; genetic algorithms; learning sets of rules; analytical learning; combining inductive and analytical learning; reinforcement learning.

421p haojiubujain07 20-09-2023 6 4   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

Ebook "Learning bayesian networks" includes content: Inference - discrete variables, more inference algorithms, influence diagrams, parameter learning - binary variables, more parameter learning, bayesian structure learning, approximate bayesian structure learning, constraint based learning,.... and other contents.

703p haojiubujain07 20-09-2023 5 2   Download

Ebook "Recurrent neural networks design and applications" includes content: Introduction, recurrent neural networks for optimization - the state of the art; efficient second order learning algorithms for discrete time recurrent neural networks; designing high order recurrent networks for bayesian belief revision; equivalence in knowledge representation - automata, recurrent neural networks, and dynamical fuzzy systems,... and other contents.

389p haojiubujain07 20-09-2023 5 2   Download

Bài viết Mô hình Bayesian Network trong phân tích năng suất - trường hợp áp dụng trong sản xuất hồ tiêu trên địa bàn huyện Cẩm Mỹ, tỉnh Đồng Nai dựa trên cơ sở khảo sát thông tin trồng tiêu của người dân huyện Cẩm Mỹ nhằm ước lượng hàm sản xuất để phân tích các yếu tố ảnh hưởng đến năng suất, từ đó ứng dụng mô hình Bayesian Network để phân tích các kịch bản về năng suất tiêu trước sự biến động lượng các yếu tố đầu vào trong trồng tiêu trên địa bàn huyện Cẩm Mỹ, tỉnh Đồng Nai.

8p visybill 19-07-2023 7 2   Download

Part 1 of ebook "Introduction to formal Philosophy" has presents the following content: the scope and methods of formal philosophy; reasoning and inference; metaphysics and philosophy of language; formal methods and the history of philosophy; neural network models of conditionals; bivalence and future contingency;...

358p dieptieuung 20-07-2023 7 3   Download

Ebook An Introduction to Machine Learning (Second edition): Part 1 presents the following content: A Simple Machine-Learning Task; Probabilities: Bayesian Classifiers; Similarities: Nearest-Neighbor Classifiers; Inter-Class Boundaries: Linear and Polynomial Classifiers;...Please refer to the documentation for more details.

180p trankora06 12-07-2023 3 2   Download

Bài viết Xác định khả năng thắng thầu, giá dự thầu hợp lý trong đấu thầu cạnh tranh bằng phương pháp mạng Bayesian belief networks và lý thuyết trò chơi trình bày phương pháp sử dụng mạng bayesian belief networks (BBNs) và lý thuyết trò chơi để xác định khả năng thắng thầu trong đấu thầu cạnh tranh.

8p viironman 02-06-2023 3 3   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

Bài viết phân tích kịch bản về năng suất trước sự biến đổi các yếu tố đầu vào. Trên cơ sở đó, đề xuất các khuyến nghị đối với nông hộ nhằm nâng cao năng suất cà phê trong trồng và chăm sóc tại huyện Đăk Glong, tỉnh Đăk Nông.

10p nguyenvanhung2000@gmail.com 05-05-2023 5 2   Download

Identification of true to breed type animal for conservation purpose is imperative. Breed dilution is one of the major problems in sustainability except cases of commercial crossbreeding under controlled condition.

8p vinarcissa 21-03-2023 2 1   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

Increasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes.

7p vihagrid 30-01-2023 7 3   Download