Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
Publikováno v:
CEC
In this paper we make a comparison of two NMF based techniques of dataset characterization: clustering and hulling. The characteristics of a dataset should be understood as describing the content of a data set through several characteristic represent
Publikováno v:
Intelligent Systems in Industrial Applications ISBN: 9783030671471
ISMIS (Industrial Paper)
ISMIS (Industrial Paper)
It is a known phenomenon that text document classifiers may benefit from inclusion of hypernyms of the terms in the document. However, this inclusion may be a mixed blessing because it may fuzzify the boundaries between document classes [5, 6, 10].
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e6b6677fe5afd03e7a271167759ee6
https://doi.org/10.1007/978-3-030-67148-8_6
https://doi.org/10.1007/978-3-030-67148-8_6
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030614003
ICAISC (1)
ICAISC (1)
We propose a new document classification method, bridging discrepancies (so-called semantic gap) between the training set and the application sets of textual data. We demonstrate its superiority over classical text classification approaches, includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55c83344dfb1c1fb82f67c00359a4ece
https://doi.org/10.1007/978-3-030-61401-0_61
https://doi.org/10.1007/978-3-030-61401-0_61
Publikováno v:
Studies in Big Data ISBN: 9783319693071
This chapter is devoted to actions to be performed in order to get maximum insights into the data by application of clustering algorithms. For data preprocessing stage, methods for choosing the appropriate set of features and algorithms for selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2431bc11d18deb581785cd9bf9333c77
https://doi.org/10.1007/978-3-319-69308-8_4
https://doi.org/10.1007/978-3-319-69308-8_4
Publikováno v:
Fundamenta Informaticae. 139:229-248
Latency of user-based and item-based recommenders is evaluated. The two algorithms can deliver high quality predictions in dynamically changing environments. However, their response time depends not only on the size, but also on the structure of unde
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 533-540 (2016)
FedCSIS
FedCSIS
Pattern-based methods of IS-A relation extraction rely heavily on so called Hearst patterns. These are ways of expressing instance enumerations of a class in natural language. While these lexico-syntactic patterns prove quite useful, they may not cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92e2ebf3c218e29cb28b9af10a9d5c57
http://arxiv.org/abs/1605.02916
http://arxiv.org/abs/1605.02916
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Future Generation Computer Systems. 21:1068-1082
This paper presents a newly developed algorithm learning very large tree-like Bayesian networks from data and exploits it to create a Bayesian multinet (BMN) classifier for natural language text documents. Results of empirical evaluation of this BMN
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319083254
ISMIS
ISMIS
We present a novel algorithm of document categorization, assigning multiple labels out of a large set of hierarchically arranged (but not necessarily tree-like) set of possible categories. It extends our Wikipedia-based method presented in [1] via un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2feb4e8088f58dc556ed382ab32b09f0
https://doi.org/10.1007/978-3-319-08326-1_34
https://doi.org/10.1007/978-3-319-08326-1_34
Publikováno v:
2013 Second International Conference on Informatics & Applications (ICIA).
This paper proposes application of Formal Concept Analysis (FCA) in creating character-level information extraction patterns and presents BigGrams: a prototype of a language-independent information extraction system. The main goal of the system is to
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642231711
The purpose of this paper is to describe a new methodology dedicated to the analysis of boolean recommenders. The aim of most recommender system is to suggest interesting items to a given user. The most common criteria utilized to evaluate a system a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bb7584e6f028c0d8bde9afa9ebc8815
https://doi.org/10.1007/978-3-642-23172-8_28
https://doi.org/10.1007/978-3-642-23172-8_28