Binary classifier

In this paper, we propose an effective AMC using deep learning (DL) for flexible and adaptive OFDM-based optical networks. The proposed DL-based AMC is able to classify four typical modulation schemes such as binary phase-shift keying (BPSK), quadrature PSK (QPSK), 8-PSK, and 16- quadrature amplitude modulation (QAM) in dynamic network conditions.

6p vithomson 02-07-2024 0 0   Download

Lecture Artificial intelligence: Binary classifiers for multi-class classification problems. This lecture provides students with content including: classification; binary classification; multi-class classification; binary classifiers; support vector machines; perceptron; logistic regression;... Please refer to the detailed content of the lecture!

12p codabach1016 03-05-2024 4 0   Download

Clinical prediction models providing binary categorizations for clinical decision support require the selection of a probability threshold, or “cutpoint,” to classify individuals. Existing cutpoint selection approaches typically optimize test-specific metrics, including sensitivity and specificity, but overlook the consequences of correct or incorrect classification.

11p vighostrider 25-05-2023 3 2   Download

Lecture Basic chemistry: A Foundation - Chapter 5. After studying this section will help you understand: nomenclature, common names - exceptions, naming starts with classifying compounds; classifying binary compounds; binary ionic, metal cations,...

21p diepchilang 26-08-2021 15 1   Download

Many problems in bioinformatics involve classification based on features such as sequence, structure or morphology. Given multiple classifiers, two crucial questions arise: how does their performance compare, and how can they best be combined to produce a better classifier? A classifier can be evaluated in terms of sensitivity and specificity using benchmark, or gold standard, data, that is, data for which the true classification is known.

11p viwyoming2711 16-12-2020 11 0   Download

Traditional cancer treatments have centered on cytotoxic drugs and general purpose chemotherapy that may not be tailored to treat specific cancers. Identification of molecular markers that are related to different types of cancers might lead to discovery of drugs that are patient and disease specific.

12p vikentucky2711 24-11-2020 12 2   Download

Selecting a parsimonious set of informative genes to build highly generalized performance classifier is the most important task for the analysis of tumor microarray expression data. Many existing gene pair evaluation methods cannot highlight diverse patterns of gene pairs only used one strategy of vertical comparison and horizontal comparison, while individual-gene-ranking method ignores redundancy and synergy among genes.

16p vioklahoma2711 19-11-2020 14 2   Download

The order of genes in bacterial genomes is not random; for example, the products of genes belonging to an operon work together in the same pathway. The cotranslational assembly of protein complexes is deemed to conserve genomic neighborhoods even stronger than a common function.

8p vicolorado2711 23-10-2020 27 1   Download

Binary classification rules based on a small-sample of high-dimensional data (for instance, gene expression data) are ubiquitous in modern bioinformatics. Constructing such classifiers is challenging due to (a) the complex nature of underlying biological traits, such as gene interactions, and (b) the need for highly interpretable glass-box models.

27p vicolorado2711 22-10-2020 8 0   Download

In terms of ideas, SVM uses tricks to map the original dataset to more dimensional spaces. Once mapped to a multidimensional space, SVM will review and select the most suitable superlattice to classify that data set.

9p kequaidan3 11-03-2020 10 1   Download

This paper proposes a new multiclass approach called multi-level (hierarchical) learning architecture (MLA). It addresses the binary classification tasks within the framework of a hierarchical strategy. It does so by accounting for the interaction between several classes and the domain knowledge.

24p meriday 20-04-2019 22 1   Download

This lecture describes the construction of binary classifiers using a technique called Logistic Regression. The objective is for you to learn: How to apply logistic regression to discriminate between two classes; how to formulate the logistic regression likelihood; how to derive the gradient and Hessian of logistic regression; how to incorporate the gradient vector and Hessian matrix into Newton’s optimization algorithm so as to come up with an algorithm for logistic regression, which we call IRLS.

17p allbymyself_08 22-02-2016 52 7   Download

The following will be discussed in this chapter: Explain the structure IP addressing and demonstrate the ability to convert between 8-bit binary and decimal numbers, given an IPv4 address, classify by type and describe how it is used in the network, explain how addresses are assigned to networks by ISPs and within networks by administrators,...

101p youcanletgo_01 04-01-2016 70 6   Download

Learning objectives of this chapter include: Explain the structure IP addressing and demonstrate the ability to convert between 8-bit binary and decimal numbers, given an IPv4 address, classify by type and describe how it is used in the network, explain how addresses are assigned to networks by ISPs and within networks by administrators,...

37p youcanletgo_01 30-12-2015 55 3   Download

We propose a new formulation of the PP attachment problem as a 4-way classification which takes into account the argument or adjunct status of the PP. Based on linguistic diagnostics, we train a 4-way classifier that reaches an average accuracy of 73.9% (baseline 66.2%). Compared to a sequence of binary classifiers, the 4-way classifier reaches better performance and individuates a verb's arguments more accurately, thus improving the acquisition of a crucial piece of information for many NLP applications. ...

8p bunthai_1 06-05-2013 44 1   Download

In this work, we investigate the use of error-correcting output codes (ECOC) for boosting centroid text classifier. The implementation framework is to decompose one multi-class problem into multiple binary problems and then learn the individual binary classification problems by centroid classifier. However, this kind of decomposition incurs considerable bias for centroid classifier, which results in noticeable degradation of performance for centroid classifier. In order to address this issue, we use Model-Refinement to adjust this so-called bias. ...

4p hongvang_1 16-04-2013 55 3   Download

We report initial results on the relatively novel task of automatic classification of author personality. Using a corpus of personal weblogs, or ‘blogs’, we investigate the accuracy that can be achieved when classifying authors on four important personality traits. We explore both binary and multiple classification, using differing sets of n-gram features. Results are promising for all four traits examined.

8p hongvang_1 16-04-2013 37 1   Download

Available-for-sale securities. Investments in debt securities that are classified as available for sale and equity securities that have readily determinable fair values that are classified as available for sale shall be measured subsequently at fair value in the statement of financial position. Unrealized holding gains and losses for available-for-sale securities (including those classified as current assets) shall be excluded from earnings and reported in other comprehensive income until realized except as indicated in the following sentence.

36p bocapchetnguoi 05-12-2012 60 2   Download

Signals represent information about data, voice, audio, image, video… There are many ways to classify signals but here we categorize signals as either analog (continuous-time) or digital (discretetime). Signal processing is to use circuits and systems (hardware and software) to act on input signal to give output signal which differs from the input, the way we would like to.

361p feteler 27-11-2012 147 31   Download

Addressing The Network –IPv4. In this chapter, you will learn to: Explain the structure IP addressing and demonstrate the ability to convert between 8-bit binary and decimal numbers. Given an IPv4 address, classify by type and describe how it is used in the network. Explain how addresses are assigned to networks by ISPs and within networks by administrators. Determine the network portion of the host address and explain the role of the subnet mask in dividing networks.

75p thanhtung_hk 03-11-2010 123 21   Download