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Inference algorithms
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This paper proposes a novel intelligent control algorithm in dealing with the load-frequency control problem of a two-area interconnected thermal power system. This control methodology applying a modified PID controller with three parameters tuned by a reasonable fuzzy logic inference structure.
10p
vijeff
30-11-2023
5
3
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This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.
8p
visharma
20-10-2023
8
4
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Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets. From the relevant literature, a credible database encompassing 242 test specimens was developed, along with six input factors that primarily determine bond strength.
12p
visharma
20-10-2023
9
5
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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
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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
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The Adaptive Neuro-Fuzzy Inference System (ANFIS) and an integrated offline Genetic Algorithm (GA) are proposed in this research. The ANFIS and GA technologies are employed to find the optimum point for maximum capacity in any environmental condition.
10p
viisac
15-09-2023
8
4
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This study aims to propose a solution to handle the uncertainty and imprecise knowledge associated with the collected data using Interval type-2 fuzzy inference system, or IT2FIS. IT2FIS has been shown to be capable of generalizing functional relationship between input and output while reducing computational complexity.
6p
viannee
02-08-2023
5
4
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Data clustering tools can uncover new knowledge to be used in cancer diagnosis and treatment. In this study, we proposed a novel method to cluster records of a relation. First, we designed an algorithm that calculates the similarity between record pairs of the relation, and then this similarity measure was used to generate a network corresponding to the relation.
17p
viannee
02-08-2023
8
3
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The utilization of biological data to infer the geographic origins of human populations has been a long standing quest for biologists and anthropologists. Several biogeographical analysis tools have been developed to infer the geographical origins of human populations utilizing genetic data.
11p
vinarcissa
21-03-2023
3
1
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Accurate genotype calling for high throughput Illumina data is an important step to extract more genetic information for a large scale genome wide association studies. Many popular calling algorithms use mixture models to infer genotypes of a large number of single nucleotide polymorphisms in a fast and efficient way.
9p
vinarcissa
21-03-2023
3
1
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Global and local ancestry inference in admixed human populations can be performed using computational tools implementing distinct algorithms. The development and resulting accuracy of these tools has been tested largely on populations with relatively straightforward admixture histories but little is known about how well they perform in more complex admixture scenarios.
8p
vihagrid
30-01-2023
7
3
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Lecture Introduction to Machine learning and Data mining: Lesson 9.2. This lesson provides students with content about: probabilistic modeling; expectation maximization; intractable inference; the Baum-Welch algorithm;... Please refer to the detailed content of the lecture!
20p
hanlamcoman
26-11-2022
10
5
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Understanding the mutational heterogeneity within tumors is a keystone for the development of efficient cancer therapies. Here, we present SCITE, a stochastic search algorithm to identify the evolutionary history of a tumor from noisy and incomplete mutation profiles of single cells.
17p
viaristotle
29-01-2022
16
0
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Predicting dynamics of host-microbial ecosystems is crucial for the rational design of bacteriotherapies. We present MDSINE, a suite of algorithms for inferring dynamical systems models from microbiome time-series data and predicting temporal behaviors. Using simulated data, we demonstrate that MDSINE significantly outperforms the existing inference method.
17p
viaristotle
29-01-2022
11
0
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We present a sensitive approach to predict genes expressed selectively in specific cell types, by searching publicly available expression data for genes with a similar expression profile to known cell-specific markers. Our method, CellMapper, strongly outperforms previous computational algorithms to predict cell type-specific expression, especially for rare and difficult-to-isolate cell types.
13p
viaristotle
29-01-2022
10
0
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Several methods have been developed for the accurate reconstruction of gene trees. Some of them use reconciliation with a species tree to correct, a posteriori, errors in gene trees inferred from multiple sequence alignments. Unfortunately the best fit to sequence information can be lost during this process.
11p
vibeauty
23-10-2021
14
1
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Inference of haplotypes, or the sequence of alleles along the same chromosomes, is a fundamental problem in genetics and is a key component for many analyses including admixture mapping, identifying regions of identity by descent and imputation. Haplotype phasing based on sequencing reads has attracted lots of attentions.
10p
vibeauty
23-10-2021
10
1
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Genomes rearrangements carry valuable information for phylogenetic inference or the elucidation of molecular mechanisms of adaptation. However, the detection of genome rearrangements is often hampered by current deficiencies in data and methods: Genomes obtained from short sequence reads have generally very fragmented assemblies, and comparing multiple gene orders generally leads to computationally intractable algorithmic questions.
15p
vibeauty
23-10-2021
11
0
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The concept of orthology is key to decoding evolutionary relationships among genes across different species using comparative genomics. QuartetS is a recently reported algorithm for large-scale orthology detection.
9p
viwyoming2711
16-12-2020
5
0
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Gene regulatory network inference remains a challenging problem in systems biology despite the numerous approaches that have been proposed. When substantial knowledge on a gene regulatory network is already available, supervised network inference is appropriate.
14p
viwyoming2711
16-12-2020
10
1
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