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Wyświetlanie 1-15 z 44
Tytuł:
Wariantywność predykacji klasyfikatorowych w polskim języku migowym – badanie pilotażowe
Variation in classifier predications in Polish Sign Language: a pilot study
Autorzy:
Dziewanowska, Weronika
Powiązania:
https://bibliotekanauki.pl/articles/2147054.pdf
Data publikacji:
2022-03
Wydawca:
Towarzystwo Kultury Języka
Tematy:
PJM (Polish Sign Language)
object classifiers
body part classifiers
grammaticalisation
Opis:
This paper describes the fi ndings of a pilot research on the application of object classifi ers and body parts in classifi er predications referring to one designatum, i.e. the dog in the picture story Frog, Where Are You?. The research showed that the frequency of the classifi ers in informants’ texts varied. One classifi er type prevailed when describing the majority of situations. Moreover, for each classifi er type used in a given situation, there was a clear predominance of one of the possible shapes of hand, while the remaining ones were similar to it. From among body part classifi ers, the least specifi c shapes of hand prevailed, which rendered the look of dog head to the smallest extent. These observations prove a high level of grammaticalisation of object classifi ers and poorly specific body part classifiers.
Źródło:
Poradnik Językowy; 2022, 792, 3; 42-58
0551-5343
Pojawia się w:
Poradnik Językowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On bare and non-bare temporal names in Romanian
Autorzy:
Tănase-Dogaru, Mihaela
Powiązania:
https://bibliotekanauki.pl/articles/40084951.pdf
Data publikacji:
2022
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II
Tematy:
temporal names
classifiers
N-raising
Opis:
The present paper investigates punctual vs. habitual readings of Romanian proper temporal names of the type luni ‘Monday’ vs. lunea ‘Monday.def’. These readings are associated with the absence vs. presence of the definite article (Franco and Lorusso 2022). The paper makes two major claims. Firstly, following Longobardi (1994, 2005), and Franco and Lorusso (2020), the paper claims that with bare, i.e., definiteless, proper time names, N-to-D movement triggers individual-like reference, which, in turn, explains why the event is interpreted as punctual. Secondly, the paper shows that the structure of proper temporal names is complex, in the sense that it contains the classifier zi ‘day’, thus paralleling the structure of complex descriptive proper names of the type ‘the planet Venus’ (see van Riemsdijk 1998, Cornilescu 2007 a.o.). This classifier is shown to be overt when there is no N-raising, and silent when N raises to D in the structure of proper temporal names.
Źródło:
Linguistics Beyond and Within; 2022, 8; 180-199
2450-5188
Pojawia się w:
Linguistics Beyond and Within
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Polish-Bulgarian-Russian, Bulgarian-Polish-Russian or Russian-Bulgarian-Polish dictionary?
Autorzy:
Koseska-Toszewa, Violetta
Satoła-Staśkowiak, Joanna
Duszkin, Maksim
Powiązania:
https://bibliotekanauki.pl/articles/677314.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Slawistyki PAN
Tematy:
trilingual dictionary
form
meaning
semantic classifiers
state
event
classic classifiers
intransitive
transitive
temporal-aspect relation
Opis:
Polish-Bulgarian-Russian, Bulgarian-Polish-Russian or Russian-Bulgarian-Polish dictionary?The trilingual dictionary (M. Duszkin, V. Koseska, J. Satoła and A. Tzoneva) is being elaborated based on a working Polish-Bulgarian-Russian electronic parallel corpus authored by Maksim Duszkin, Violetta Koseska-Toszewa and Joanna Satoła-Staśkowiak, and works by A. Tzoneva. It is the first corpus comparing languages belonging to three different Slavic language groups: western, southern and eastern. Works on the dictionary are based on Gramatyka konfrontatywna bułgarsko-polska (Bulgarian-Polish confrontative grammar ) and the proposed there semantic-oriented interlanguage. Two types of classifiers have been introduced into the dictionary: classic and semantic. The trilingual dictionary will present a consistent and homogeneous set of facts of grammar and semantics. The Authors point out that in a traditional dictionary it is not clear for example whether aspect should be understood as imperfective / perfective form of a verb or as its meaning. Therefore in the dictionary forms and meaning are separated in a regular way. Imperfective verb form has two meanings: state and configuration of states and events culminating in state. Also perfective verb form has two meanings: event and configuration of states and events culminating in event. These meanings are described by the semantic classifiers, respectively, state and event, state1 and event1. The way of describing language units, mentioned in the article, gives a possibility to present language material (Polish, Bulgarian, Russian) in any required order, hence the article’s title.
Źródło:
Cognitive Studies; 2012, 12
2392-2397
Pojawia się w:
Cognitive Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wavelet-neural systems as approximators of an unknown function - a comparison of biomedical signal classifiers
Autorzy:
Kostka, P.
Tkacz, E.
Powiązania:
https://bibliotekanauki.pl/articles/1965818.pdf
Data publikacji:
2004
Wydawca:
Politechnika Gdańska
Tematy:
wavelets
neural networks
biomedical signal classifiers
Opis:
Wavelet-neural systems (WNS) presented in this work, inheriting the properties of neural networks, belong to the class of universal approximators of unknown functions, F, describing the relationship between input X ∈ RN and output Y ∈ RM of a process or object. Classifier structures described in this work fulfil the role of approximators of functions, which are able to assign the input signal to a particular class with a given accuracy. A performance comparison of elaborated classifier structures with preliminary time-frequency analysis in the wavelet layer has been made for different types of the neural part. A feed forward multi-layer perceptron and a neural net with radial basic functions are analysed theoretically and practically. Results included in this paper present a comparison of the learning and verification stages of a classifier, tested on the basis of non-stationary signals of heart rate variability. Despite the fact that a WNS with the Morlet basic function gives the best results for the learning phase of WNS, the other tested wavelets used in the preliminary layer, Db4, allow us to obtain the best system performance during its verification.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2004, 8, 2; 159-169
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards explainable classifiers using the counterfactual approach : global explanations for discovering bias in data
Autorzy:
Mikołajczyk, Agnieszka
Grochowski, Michał
Kwasigroch, Arkadiusz
Powiązania:
https://bibliotekanauki.pl/articles/2031144.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
explainable classifiers
counterfactual approach
bias detection
Opis:
The paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results are validated on a sample skin lesion dataset. Using the proposed method, a number of possible bias-causing artifacts are successfully identified and confirmed in dermoscopy images. In particular, it is confirmed that black frames have a strong influence on Convolutional Neural Network’s prediction: 22% of them changed the prediction from benign to malignant.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 1; 51-67
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Class association rules with occurrence count in image classification
Autorzy:
Kobyliński, Ł.
Walczak, K.
Powiązania:
https://bibliotekanauki.pl/articles/1943275.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
image
classification
class association rules
associative classifiers
Opis:
The concept of utilizing association rules for classification has emerged in recent years. This approach has often proved to be more efficient and accurate than traditional techniques. In this paper we extend the existing associative classifier building algorithms and apply them to the problem of image classification. We describe a set of photographs with features calculated on the basis of their color and texture characteristics and experiment with different types of rules which use the information about the existence of a particular feature in an image, its occurrence count and spatial proximity to classify the images accurately. We suggest using association rules more closely tied to the nature of the image data and compare the results with those of classification with simpler rules, taking into consideration only the existence of a particular feature on an image.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 35-45
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy
Autorzy:
Tran, H. L.
Pham, V. N.
Vuong, H. N.
Powiązania:
https://bibliotekanauki.pl/articles/331348.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
neural classifiers
integration of classifiers
decision tree
arrhythmia recognition
Hermite basis function decomposition
klasyfikatory neuronowe
drzewo decyzyjne
rozpoznawanie arytmii
Opis:
The paper presents a new system for ECG (ElectroCardioGraphy) signal recognition using different neural classifiers and a binary decision tree to provide one more processing stage to give the final recognition result. As the base classifiers, the three classical neural models, i.e., the MLP (Multi Layer Perceptron), modified TSK (Takagi–Sugeno–Kang) and the SVM (Support Vector Machine), will be applied. The coefficients in ECG signal decomposition using Hermite basis functions and the peak-to-peak periods of the ECG signals will be used as features for the classifiers. Numerical experiments will be performed for the recognition of different types of arrhythmia in the ECG signals taken from the MIT-BIH (Massachusetts Institute of Technology and Boston’s Beth Israel Hospital) Arrhythmia Database. The results will be compared with individual base classifiers’ performances and with other integration methods to show the high quality of the proposed solution.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 3; 647-655
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza porównawcza wybranych klasyfikatorów w diagnozowaniu uszkodzeń przekładni zębatych
A comparison of selected classifiers in gear fault diagnosis
Autorzy:
Piekoszewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/313178.pdf
Data publikacji:
2017
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
klasyfikatory
diagnozowanie
sieć bayesowska
classifiers
diagnosis
Bayesian network
Opis:
Niewielkie uszkodzenie przekładni zębatej może prowadzić do poważnej awarii urządzenia. Zatem, bardzo ważnym jest wykrycie takich defektów na ich początkowym etapie powstawania aby zapobiec dalszym uszkodzeniom. Praca przedstawia kilka wybranych teoretycznych narzędzi z obszaru sztucznej inteligencji zastosowanych do rozwiązania problemu diagnozowania uszkodzeń przekładni zębatych. Rozważanymi narzędziami są: perceptron wielowarstwowy, sieć neuronowa o radialnych funkcjach bazowych, drzewo decyzyjne, sieć bayesowska, maszyna wektorów podpierających oraz algorytm k najbliższych sąsiadów. Rezultaty wszystkich eksperymentów zostały otrzymane z wykorzystaniem rzeczywistych danych oraz aplikacji WEKA (ang. Waikato Environment for Knowledge Analysis) dostępnej na stronach Uniwersytetu Waikato w Nowej Zelandii.
Minor gear damage may lead to serious failures of the device. Thus, it is very important to detect such damage as early as possible to prevent further damage. This paper presents a selection of several theoretical tools from the field of artificial intelligence and their application in gear fault classification. The considered tools are: feed forward neural network (multilayer perception), neural network with radial basis functions, decision tree, Bayesian network, support vector machine, and k-nearest neighbor algorithm. All numerical experiments presented in the paper were performed with the use of real-world dataset and WEKA (Waikato Environment for Knowledge Analysis) software, available at the server of the University of Waikato.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2017, 18, 12; 1233-1236, CD
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prognozowanie bankructwa za pomocą klasyfikatorów rozmytych realizujących ideę maksymalnego marginesu
Bankruptcy prediction with Maximum Margin Fuzzy Classifiers
Autorzy:
Gąska, Damian
Powiązania:
https://bibliotekanauki.pl/articles/434039.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
bankruptcy prediction
supervised learning
maximum-margin fuzzy classifiers
Opis:
The paper is devoted to the bankruptcy prediction problem. Analyzed concept is the usage of Maximum Margin Fuzzy Classifiers. The article gives a brief overview of approaches used for the purpose of bankruptcy prediction. The most important theoretical aspects of MMFC method are presented. The final part contains results and conclusions of a study on real-world data regarding Warsaw Stock Exchange companies.
Źródło:
Śląski Przegląd Statystyczny; 2015, 13 (19)
1644-6739
Pojawia się w:
Śląski Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wisdom before knowledge, mathematics before informatics?
Autorzy:
Cendrowska, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/748573.pdf
Data publikacji:
2006
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Mathematical skills, Piecewise classifiers
Umiejętności matematyczne, Binarny klasyfikator
Opis:
„Świat potrzebuje mądrości jak nigdy dotąd, a jeśli poziom wiedzy będzie w przyszłości nadal rósł, świat będzie potrzebował mądrości w jeszcze większym stopniu niż obecnie”. Słowa te napisał Bertrand Russell w połowie zeszłego wieku. Czy mają dziś jakąś wartość? Co je łączy z matematyką, informatyką czy nawet polityką? Artykuł ten jest próbą odpowiedzi na te właśnie pytania.
"The world needs wisdom as it has never needed it before; and if the knowledge continuesto increase, the world will need wisdom in the future even more than it does now"(Bertrand Russell)
Źródło:
Mathematica Applicanda; 2006, 34, 48/07
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolving ensembles of linear classifiers by means of clonal selection algorithm
Autorzy:
Bereta, M.
Burczyński, T.
Powiązania:
https://bibliotekanauki.pl/articles/969829.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
artificial immune systems
clonal selection
linear classifiers
bagging
boosting
Opis:
Artificial immune systems (AIS) have become popular among researchers and have been applied to a variety of tasks. Developing supervised learning algorithms based on metaphors from the immune system is still an area in which there is much to explore. In this paper a novel supervised immune algorithm based on clonal selection framework is proposed. It evolves a population of linear classifiers used to construct a set of classification rules. Aggregating strategies, such as bagging and boosting, are shown to work well with the proposed algorithm as the base classifier.
Źródło:
Control and Cybernetics; 2010, 39, 2; 325-342
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie eksploracji danych do wykrywania reklam w obrazach na stronach www
Application of data mining in detecting advertisements in images from web pages
Autorzy:
Brylak, J.
Gruber, J.
Jóźwiak, I. J.
Powiązania:
https://bibliotekanauki.pl/articles/321926.pdf
Data publikacji:
2012
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
klasyfikatory
wykrywanie reklam
strona WWW
classifiers
advertisement detection
web page
Opis:
W artykule przedstawiono sposób tworzenia klasyfikatorów, które mają posłużyć do wykrywania reklam w obrazach na stronach WWW. Opisano postać i rodzaj danych, jakie zostały wykorzystane do wytworzenia modeli. Omówiono wszystkie etapy tego procesu tworzenia modelu, na który składają się filtracja dostępnych danych, dobór odpowiednich zmiennych, ocena utworzonych klasyfikatorów.
This article describes how to create classifiers, which are used to detect advertising images on web pages. The character and type of data that were used to produce models were also discussed. Modeling process consists of filtering the data, selection of appropriate variables, the evaluation of classifiers created, has also been described.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2012, z. 63a; 379-386
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semi-supervised approach to handle sudden concept drift in Enron data
Autorzy:
Kmieciak, M. R.
Stefanowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/206052.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
concept drift
incremental learning of classifiers
email foldering
Enron data
Opis:
Detection of concept changes in incremental learning from data streams and classifier adaptation is studied in this paper. It is often assumed that all processed learning examples are always labeled, i.e. the class label is available for each example. As it may be difficult to satisfy this assumption in practice, in particular in case of data streams, we introduce an approach that detects concept drift in unlabeled data and retrains the classifier using a limited number of additionally labeled examples. The usefulness of this partly supervised approach is evaluated in the experimental study with the Enron data. This real life data set concerns classification of user's emails to multiple folders. Firstly, we show that the Enron data are characterized by frequent sudden changes of concepts. We also demonstrate that our approach can precisely detect these changes. Results of the next comparative study demonstrate that our approach leads to the classification accuracy comparable to two fully supervised methods: the periodic retraining of the classifier based on windowing and the trigger approach with the DDM supervised drift detection. However, our approach reduces the number of examples to be labeled. Furthermore, it requires less updates of retraining classifiers than windowing.
Źródło:
Control and Cybernetics; 2011, 40, 3; 667-695
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Training RBF NN Using Sine-Cosine Algorithm for Sonar Target Classification
Autorzy:
Wang, Yixuan
Yuan, LiPing
Khishe, Mohammad
Moridi, Alaveh
Mohammadzade, Fallah
Powiązania:
https://bibliotekanauki.pl/articles/1953523.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
classifiers
radial basis function neural network
sine-cosine algorithm
sonar
Opis:
Radial basis function neural networks (RBF NNs) are one of the most useful tools in the classification of the sonar targets. Despite many abilities of RBF NNs, low accuracy in classification, entrapment in local minima, and slow convergence rate are disadvantages of these networks. In order to overcome these issues, the sine-cosine algorithm (SCA) has been used to train RBF NNs in this work. To evaluate the designed classifier, two benchmark underwater sonar classification problems were used. Also, an experimental underwater target classification was developed to practically evaluate the merits of the RBF-based classifier in dealing with high-dimensional real world problems. In order to have a comprehensive evaluation, the classifier is compared with the gradient descent (GD), gravitational search algorithm (GSA), genetic algorithm (GA), and Kalman filter (KF) algorithms in terms of entrapment in local minima, the accuracy of the classification, and the convergence rate. The results show that the proposed classifier provides a better performance than other compared classifiers as it classifies the sonar datasets 2.72% better than the best benchmark classifier, on average.
Źródło:
Archives of Acoustics; 2020, 45, 4; 753-764
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deep Classifiers and Wavelet Transformation for Fake Image Detection
Autorzy:
Osowski, Stanislaw
Golgowski, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/27312950.pdf
Data publikacji:
2023
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
continuous wavelet transform
convolutional neural
networks
deep fake
ensemble of classifiers
Opis:
The paper presents a computer system for detecting deep fake images in videos. The system is based on continuous wavelet transformation combined with a set of classifiers composed of a few convolutional neural networks of diversified architectures. Three different forms of forged images taken from the FaceForensics++ database are considered in numerical experiments. The results of experiments involving the proposed system have shown good performance in comparison to other current approaches to this particular problem.
Źródło:
Journal of Telecommunications and Information Technology; 2023, 4; 1--8
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 44

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