標題: Titlebook: Emerging Paradigms in Machine Learning; Sheela Ramanna,Lakhmi C Jain,Robert J. Howlett Book 2013 Springer-Verlag Berlin Heidelberg 2013 Em [打印本頁] 作者: 公款 時間: 2025-3-21 17:12
書目名稱Emerging Paradigms in Machine Learning影響因子(影響力)
書目名稱Emerging Paradigms in Machine Learning影響因子(影響力)學(xué)科排名
書目名稱Emerging Paradigms in Machine Learning網(wǎng)絡(luò)公開度
書目名稱Emerging Paradigms in Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Emerging Paradigms in Machine Learning被引頻次
書目名稱Emerging Paradigms in Machine Learning被引頻次學(xué)科排名
書目名稱Emerging Paradigms in Machine Learning年度引用
書目名稱Emerging Paradigms in Machine Learning年度引用學(xué)科排名
書目名稱Emerging Paradigms in Machine Learning讀者反饋
書目名稱Emerging Paradigms in Machine Learning讀者反饋學(xué)科排名
作者: Incisor 時間: 2025-3-21 21:16
Emerging Trends in Machine Learning: Classification of Stochastically Episodic Eventss open for analysis. In particular, we note that this new realm deviates from the standard set of OC problems based on the presence of three characteristics, which ultimately amplify the classification challenge. They involve the . nature of the appearance of the data, the fact that the data from th作者: 粉筆 時間: 2025-3-22 00:57
Overlapping, Rare Examples and Class Decomposition in Learning Classifiers from Imbalanced Datalties. These results confirm the initial hypothesis saying the degradation of classification performance is more related to the minority class decomposition into small sub-parts. Another critical factor concerns presence of a relatively large number of borderline examples from the minority class in 作者: 貪婪性 時間: 2025-3-22 05:14 作者: 松軟 時間: 2025-3-22 11:29 作者: Complement 時間: 2025-3-22 14:25 作者: Complement 時間: 2025-3-22 18:44
Needs Assessment in Public Health totally data driven in that it does not make any assumptions about the number or the maximum size of hyperboxes. Subsequent optimisation involves identification of granular prototypes and their refinement so as to achieve full reconstruction of the original data from the prototypes and the correspo作者: Hay-Fever 時間: 2025-3-22 22:57 作者: 過剩 時間: 2025-3-23 03:34
https://doi.org/10.1007/978-3-663-12254-8lties. These results confirm the initial hypothesis saying the degradation of classification performance is more related to the minority class decomposition into small sub-parts. Another critical factor concerns presence of a relatively large number of borderline examples from the minority class in 作者: 放肆的我 時間: 2025-3-23 05:35 作者: 鍍金 時間: 2025-3-23 12:07 作者: Carbon-Monoxide 時間: 2025-3-23 17:33
2190-3018 lding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.? ?.978-3-642-43574-4978-3-642-28699-5Series ISSN 2190-3018 Series E-ISSN 2190-3026 作者: 密切關(guān)系 時間: 2025-3-23 19:17
Sheela Ramanna,Lakhmi C Jain,Robert J. HowlettState of the art of emerging paradigms in machine learning including some real world applications.Latest research in machine learning and biologically-based techniques for the design and implementatio作者: CRAFT 時間: 2025-3-23 23:28 作者: Interstellar 時間: 2025-3-24 04:30
https://doi.org/10.1007/978-3-642-28699-5Emerging paradigms; Emerging paradigms; Intelligent systems; Intelligent systems; Machine learning; Machi作者: infelicitous 時間: 2025-3-24 09:17
,Enige Grondlijnen van Abélard’s Theologie,esian Learning, Decision Trees, Granular Computing, Fuzzy and Rough Sets, Inductive Logic Programming, Reinforcement Learning, Neural Networks and Support Vector Machines. In addition, challenges in ML such as imbalanced data, perceptual computing, and pattern recognition of data which is episodic as well as temporal are also highlighted.作者: Vulnerable 時間: 2025-3-24 11:59 作者: 泄露 時間: 2025-3-24 17:15
Emerging Paradigms in Machine Learning: An Introduction,esian Learning, Decision Trees, Granular Computing, Fuzzy and Rough Sets, Inductive Logic Programming, Reinforcement Learning, Neural Networks and Support Vector Machines. In addition, challenges in ML such as imbalanced data, perceptual computing, and pattern recognition of data which is episodic as well as temporal are also highlighted.作者: jumble 時間: 2025-3-24 22:50 作者: 彎曲的人 時間: 2025-3-25 01:38 作者: 填滿 時間: 2025-3-25 04:15 作者: GORGE 時間: 2025-3-25 08:48 作者: Indigence 時間: 2025-3-25 12:45 作者: municipality 時間: 2025-3-25 16:58
Needs Assessment in Public Health in the multi-dimensional feature space of the data. However, while such an information abstraction lends itself to easy interpretation it leaves open the question whether the granules represent well the original data..In this chapter we discuss an approach to optimised information abstraction, whic作者: Colonoscopy 時間: 2025-3-25 23:40
Neem de regie over je depressie” conditions, a special case of “do-not care” conditions called restricted “do-not care” conditions, or as attribute-concept values. In general, incomplete data are described by characteristic relations, a generalization of the indiscernibility relation. A methodology of mining incomplete data is pr作者: Panacea 時間: 2025-3-26 00:48
Het dier met het grootste leervermogen,ning methods to help solving a variety of problems in many different domains. BNs (and BCs) can be considered a probabilistic graphical language suitable for inducing models from data aiming at knowledge representation and reasoning about data domains. The main goal of this chapter is the empirical 作者: aviator 時間: 2025-3-26 07:45 作者: BOGUS 時間: 2025-3-26 09:00 作者: arthroplasty 時間: 2025-3-26 13:25
https://doi.org/10.1007/978-3-322-97785-4h allows agents to construct new rules based on knowledge and examples, which are available to different memebrs of the system. The learning process is performed in two phases – first locally by each agent and then on the global level while reasoning.作者: 癡呆 時間: 2025-3-26 18:24 作者: colloquial 時間: 2025-3-26 23:33
Charlotte von Bülow,Peter Simpsonformation systems in interactive computing used to build perception modeling. In particular, we illustrate use of information systems for representation of actions or plans, their (changing in time) pre and post conditions. These information systems create a starting point for perception modeling, i作者: FUSE 時間: 2025-3-27 02:12
https://doi.org/10.1007/978-3-663-12254-8g classes (majority classes). The minority class is usually of primary interest and it is required to recognize its members as accurately as possible. Class imbalance constitutes a difficulty for most algorithms learning classifiers as they are biased toward the majority classes. The first part of t作者: catagen 時間: 2025-3-27 08:37
https://doi.org/10.1007/978-3-658-00967-0cepts, between granulations and classifications, and between relations over granules and relations over concepts. Two learning strategies are investigated. A global attribute-oriented strategy searches for a good partition of a universe of objects and a local attribute-value-oriented strategy search作者: 天文臺 時間: 2025-3-27 09:35 作者: meritorious 時間: 2025-3-27 15:15
https://doi.org/10.1007/978-3-662-22212-6le which they affect. If we cannot formalize the function tying the independent and dependent variables then we will utilize some expert-system control actions. We often adopt their fuzzy variants developed by Mamdani, Sugeno and Takagi. Fuzzy expert-system algorithms are furnished with softer mecha作者: nuclear-tests 時間: 2025-3-27 20:09
,M?gliche Bedingungen der Vernachl?ssigung, case studies concerning the proteomic spectra analysis to find diagnostic biomarkers and performing case-control discrimination as well as the face recognition problem, which is situated among the most investigated biometric methods. These case studies, representing the state-of-the-art in applicat作者: 災(zāi)禍 時間: 2025-3-27 22:57
Liesbeth Frias,Andrew J. J. MacIntoshad that it is going to handle. The knowledge of the workload also provides a strong basis for design and optimization of the system components. To efficiently use this knowledge, we need an analytical model of the workload. The traditional multimedia workload models used in other domains are not app作者: parallelism 時間: 2025-3-28 04:32 作者: FECT 時間: 2025-3-28 06:50
Book 2013ent system design. The ?multidisciplinary nature of machine learning makes it a very fascinating and popular area for research.? The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems.? Several ch作者: 得體 時間: 2025-3-28 12:09
A Granular Computing Paradigm for Concept Learninges for a good covering. The proposed granular computing paradigm for concept learning offers twofold benefits. Results from concept formulation and learning enrich granular computing and a granular computing viewpoint sheds new light on concept formulation and learning.作者: chronology 時間: 2025-3-28 15:08 作者: Protein 時間: 2025-3-28 20:11 作者: POINT 時間: 2025-3-29 02:51
Rough Set and Artificial Neural Network Approach to Computational Stylisticsd differentiating features amongst their styles, for authorship attribution, and for recognition of documents based not on their topic, which is so common, but style. Stylistic analysis belongs with text mining, data mining, information retrieval, but also pattern recognition [4].作者: Mendicant 時間: 2025-3-29 07:01 作者: Ancestor 時間: 2025-3-29 10:02 作者: overrule 時間: 2025-3-29 15:29
Andreas Nicklisch,Fabian Paetzelrelative to different cost functions such as depth, average depth, and number of nodes. For decision trees, we analyze relationships between depth and number of misclassifications. We also discuss results of computer experiments with some datasets from UCI ML Repository.作者: Fsh238 時間: 2025-3-29 16:31
Charlotte von Bülow,Peter Simpsonon of actions or plans, their (changing in time) pre and post conditions. These information systems create a starting point for perception modeling, i.e., modeling of the process of understanding of sensory measurements.作者: 以煙熏消毒 時間: 2025-3-29 22:31 作者: alleviate 時間: 2025-3-30 00:06
Neem de regie over je depressieoximations are computed first and then the rule induction algorithm is applied. In the local version of MLEM2, rule sets are induced directly from raw data sets, incomplete and with numerical attributes. Results of experiments on both approaches are included.作者: RAGE 時間: 2025-3-30 05:06 作者: FADE 時間: 2025-3-30 11:22 作者: FAWN 時間: 2025-3-30 14:35 作者: 無表情 時間: 2025-3-30 19:56 作者: 不公開 時間: 2025-3-31 00:10
Mining Incomplete Data—A Rough Set Approachoximations are computed first and then the rule induction algorithm is applied. In the local version of MLEM2, rule sets are induced directly from raw data sets, incomplete and with numerical attributes. Results of experiments on both approaches are included.作者: 露天歷史劇 時間: 2025-3-31 04:22
Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigationi) learning and (iii) postprocessing (rule generation). By doing so the chapter contributes with organizing, specifying and discussing the many different ways Bayes-based concepts can successfully be employed in automatic learning.作者: 抱狗不敢前 時間: 2025-3-31 07:53 作者: 草本植物 時間: 2025-3-31 11:06 作者: 音樂會 時間: 2025-3-31 16:46
Support Vector Machines in Biomedical and Biometrical Applicationsists, bioinformaticians, and biostatisticians from the Faculty of Automatic Control, Electronics and Computer Science at Silesian University of Technology in a collaboration with clinicists from the Institute of Oncology in Gliwice, Poland.作者: Hemoptysis 時間: 2025-3-31 20:39
