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Learning to rank
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Part 1 of ebook "Understanding machine learning: From theory to algorithms" provides readers with contents including: foundations; from theory to algorithms; a formal learning model; learning via uniform convergence; the bias-complexity tradeoff; linear predictors; model selection and validation; convex learning problems; support vector machines; multiclass, ranking, and complex prediction problems;...
284p
tieulangtran
28-09-2023
7
3
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Concept normalization, the task of linking phrases in text to concepts in an ontology, is useful for many downstream tasks including relation extraction, information retrieval, etc. We present a generate-andrank concept normalization system based on our participation in the 2019 National NLP Clinical Challenges Shared Task Track 3 Concept Normalization.
10p
vighostrider
25-05-2023
4
2
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The study sought to assist practitioners in identifying and prioritizing radiography exams that are more likely to contain abnormalities, and provide them with a diagnosis in order to manage heavy workload more efficiently (eg, during a pandemic) or avoid mistakes due to tiredness.
9p
vighostrider
25-05-2023
2
2
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Prediction of cell type-specific, in vivo transcription factor binding sites is one of the central challenges in regulatory genomics. Here, we present our approach that earned a shared first rank in the “ENCODE-DREAM in vivo Transcription Factor Binding Site Prediction Challenge” in 2017. In post-challenge analyses, we benchmark the influence of different feature sets and find that chromatin accessibility and binding motifs are sufficient to yield state-of-the-art performance.
17p
vigalileogalilei
27-02-2022
19
1
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Glioblastoma (GBM) can be divided into subtypes according to their genomic features, includ‑ ing Proneural (PN), Neural (NE), Classical (CL) and Mesenchymal (ME). However, it is a difficult task to unify various genomic expression profiles which were standardized with various procedures from different studies and to manually classify a given GBM sample into a subtype.
13p
vielonmusk
21-01-2022
16
1
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The quality of higher education is only assessed through “experience”, that is, through participating in the learning process. As a result, universities increasingly have to provide enough information for prospective students to choose from.
14p
meyerowitz
25-12-2021
11
0
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This paper presents a method that automatically detects auditing risk using machine learning approaches. The criteria to assess auditing risks will serve as inputs in the machine learning algorithms, and the output will be the ranking of low, medium, high level of auditing risk.
9p
vilarrypage
21-11-2021
10
1
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High throughput microfluidic protocols in single cell RNA sequencing (scRNA-seq) collect mRNA counts from up to one million individual cells in a single experiment; this enables high resolution studies of rare cell types and cell development pathways.
51p
vikentucky2711
24-11-2020
15
1
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An exponential growth of high-throughput biological information and data has occurred in the past decade, supported by technologies, such as microarrays and RNA-Seq. Most data generated using such methods are used to encode large amounts of rich information, and determine diagnostic and prognostic biomarkers.
13p
vioklahoma2711
19-11-2020
19
2
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The Friedman rank sum test is a widely-used nonparametric method in computational biology. In addition to examining the overall null hypothesis of no significant difference among any of the rank sums, it is typically of interest to conduct pairwise comparison tests.
18p
vioklahoma2711
19-11-2020
12
1
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Current -omics technologies are able to sense the state of a biological sample in a very wide variety of ways. Given the high dimensionality that typically characterises these data, relevant knowledge is often hidden and hard to identify.
22p
viflorida2711
30-10-2020
12
2
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In structural biology area, protein residue-residue contacts play a crucial role in protein structure prediction. Some researchers have found that the predicted residue-residue contacts could effectively constrain the conformational search space, which is significant for de novo protein structure prediction.
12p
viflorida2711
30-10-2020
14
1
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Protein structure prediction has achieved a lot of progress during the last few decades and a greater number of models for a certain sequence can be predicted. Consequently, assessing the qualities of predicted protein models in perspective is one of the key components of successful protein structure prediction.
8p
viflorida2711
30-10-2020
10
1
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Survival analysis is an important element of reasoning from data. Applied in a number of fields, it has become particularly useful in medicine to estimate the survival rate of patients on the basis of their condition, examination results, and undergoing treatment.
13p
viflorida2711
30-10-2020
13
1
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Learning accurate models from ‘omics data is bringing many challenges due to their inherent high-dimensionality, e.g. the number of gene expression variables, and comparatively lower sample sizes, which leads to ill-posed inverse problems.
15p
viconnecticut2711
28-10-2020
17
0
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Ebook "SEO 2019 learn search engine optimization with smart internet marketing strategies: Part 1" present the content introduction to how Google works; keyword research, the most important step of SEO; on-page SEO, how to let Google know what your page is about; link building, how to rank extremely high on Google; social media & SEO; web analytics in a nutshell, how to measure your success.
80p
kethamoi8
10-10-2020
44
6
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A test has been applied to evaluate the visual learning of children who have learning difficulties on both the control and experimental groups. It has been shown that there are statistically significant differences for the favor of the experimental group among the average ranks of the control groups scores.
12p
orianahuynh
05-06-2020
29
3
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Efficient and stable performance of the banking system underpins sustainable growth of any economy. Of late, several economic reforms have been initiated in India for facilitating growth and withstanding dynamics of global economy. In this context, the current study compares the performance of the selected private and public sector banks in India on a five year time horizon in order to discern any changes in the performance over a period of time.
16p
chauchaungayxua2
04-01-2020
35
1
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Training need assessment is considered to be the integral part of well designed training programme. Training needs are closely linked to learning: the target population is looked at more closely to determine the actual content, context and delivery method of performance intervention. Present study was conducted in two states of India i.e. Uttarakhand and Punjab to assess the training needs of the agri-entrepreneurs. One training center from each state were randomly selected and total 120 respondents, 60 from each state were selected using simple random sampling method.
11p
quenchua2
15-12-2019
8
0
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Since English expressions vary according to the genres, it is important for students to study questions that are generated from sentences of the target genre. Although various questions are prepared, it is still not enough to satisfy various genres which students want to learn. On the other hand, when producing English questions, sufficient grammatical knowledge and vocabulary are needed, so it is difficult for non-expert to prepare English questions by themselves. In this paper, we propose an automatic generation system of multiple-choice cloze questions from English texts.
15p
quenchua1
06-11-2019
20
0
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