標(biāo)題: Titlebook: Soft Computing for Knowledge Discovery; Introducing Cartesia James G. Shanahan Book 2000 Springer Science+Business Media New York 2000 Baye [打印本頁] 作者: 瘦削 時(shí)間: 2025-3-21 18:12
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書目名稱Soft Computing for Knowledge Discovery讀者反饋
書目名稱Soft Computing for Knowledge Discovery讀者反饋學(xué)科排名
作者: BIBLE 時(shí)間: 2025-3-21 21:35
Fuzzy Logicnces. In an approximate reasoning setting, in contrast to a classical logic setting, where inference is performed by manipulating symbols, inference is performed at a semantic level by numeric manipulation of membership functions that characterise the symbols.作者: 雪上輕舟飛過 時(shí)間: 2025-3-22 02:38
Analysis of Cartesian Granule Feature Modelse possible model space in the following ways and subsequently measuring the accuracy of the resulting model on a test dataset: use different linguistic partitions of input variable universes; vary the feature dimensionality of the Cartesian granule features; vary the type of rule used to aggregate; 作者: 種類 時(shí)間: 2025-3-22 05:55 作者: 諂媚于人 時(shí)間: 2025-3-22 09:11 作者: antiquated 時(shí)間: 2025-3-22 13:55
en disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 24 (thesis year 1979) a total of 10,033 theses titles from 作者: Distribution 時(shí)間: 2025-3-22 19:01
James G. Shanahanen disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 24 (thesis year 1979) a total of 10,033 theses titles from 作者: Amnesty 時(shí)間: 2025-3-23 00:07 作者: 減弱不好 時(shí)間: 2025-3-23 03:11 作者: 急性 時(shí)間: 2025-3-23 07:36
James G. Shanahanences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 978-1-4615-7393-7978-1-4615-7391-3作者: 稱贊 時(shí)間: 2025-3-23 09:42 作者: 流浪者 時(shí)間: 2025-3-23 14:14 作者: 憤世嫉俗者 時(shí)間: 2025-3-23 19:49
James G. Shanahanences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 978-1-4615-7393-7978-1-4615-7391-3作者: 使迷惑 時(shí)間: 2025-3-23 23:10
been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 作者: Erythropoietin 時(shí)間: 2025-3-24 05:13
James G. Shanahanbeen disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 作者: decipher 時(shí)間: 2025-3-24 06:32 作者: ODIUM 時(shí)間: 2025-3-24 12:40
James G. Shanahanences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 978-1-4615-7393-7978-1-4615-7391-3作者: KIN 時(shí)間: 2025-3-24 17:53 作者: 發(fā)現(xiàn) 時(shí)間: 2025-3-24 20:50 作者: 慟哭 時(shí)間: 2025-3-25 01:48 作者: ARCHE 時(shí)間: 2025-3-25 05:31
James G. Shanahanences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 978-1-4615-7393-7978-1-4615-7391-3作者: 上坡 時(shí)間: 2025-3-25 10:19
been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 作者: 敵意 時(shí)間: 2025-3-25 13:36 作者: Acetaldehyde 時(shí)間: 2025-3-25 17:15
Machine Learningce at some task with experience. The goal of this chapter is to introduce techniques designed to acquire knowledge in this manner and to provide a framework for understanding the relationship among such methods, and in particular the machine learning approaches proposed and presented later in this book.作者: CLAM 時(shí)間: 2025-3-25 21:42 作者: Pander 時(shí)間: 2025-3-26 01:26
Learning Cartesian Granule Feature ModelsG algorithm achieves this by embracing the synergistic spirit of soft computing, using genetic programming to discover the language (structure) of the model fuzzy sets and evidential rules for knowledge representation, while relying on the well-developed probability theory for learning the parameters of the model.作者: 跳動(dòng) 時(shí)間: 2025-3-26 07:20
Knowledge Representationhuman understanding (not always required). Much of the work in knowledge representation is motivated by engineering concerns, with a little interest in psychological and linguistic plausibility [Hayes 1999]. Philosophers and psychologist have long pondered and debated how humans and other animals represent knowledge.作者: 合乎習(xí)俗 時(shí)間: 2025-3-26 11:08 作者: Nonporous 時(shí)間: 2025-3-26 16:20
Cartesian Granule Featuresn the next chapter. This approach to knowledge representation and related induction algorithms, while not being a panacea for knowledge discovery, do address some of the shortcomings of other knowledge discovery techniques such as decomposition error, and performance issues such as transparency, accuracy and efficiency.作者: Metamorphosis 時(shí)間: 2025-3-26 17:11 作者: 坦白 時(shí)間: 2025-3-26 21:18
Knowledge Discovery and principles (knowledge) from historical data (and background knowledge), that permit a computer to perform a task . or that . a human perform a task more successfully, efficiently or in a more value-added way.作者: 他日關(guān)稅重重 時(shí)間: 2025-3-27 03:37
Fril — a Support Logic Programming Environmentgnment theory, fuzzy set theory, support logic (a form of interval based probabilistic reasoning), and related theories of uncertainty and imprecision from the basis of knowledge representation and reasoning fo the Fril support logic programming environment.作者: 生命層 時(shí)間: 2025-3-27 09:13
Knowledge Discoveryith varying degrees of success, to increase its usefulness to mankind through the development of systems with high MIQ (Machine Intelligence Quotient) [Zadeh 1994b]. This desire to increase the computers’ usefulness to mankind has led to the birth of many computer-related disciplines. One such disci作者: intangibility 時(shí)間: 2025-3-27 11:51 作者: 斷斷續(xù)續(xù) 時(shí)間: 2025-3-27 16:07 作者: Fibroid 時(shí)間: 2025-3-27 18:29 作者: 后退 時(shí)間: 2025-3-27 23:54
Probability Theoryncertainty management have proposed, but one of the oldest is probability theory. Probability theory focuses on managing uncertainty arising from beliefs or expectations, often reffered to as .. Stochastic uncertainty differs from the incertainty arising from the imprecision or fuzziness that fuzzy 作者: 射手座 時(shí)間: 2025-3-28 06:01
Fril — a Support Logic Programming Environmentrelated; for example, how fuzzy sets are formally related probabilistics representations such as mass assignments and probability distributions. The attention in this chapter shifts to a programming environment that enables soft computing — FRIL (Fuzzy Relational Inference Language) [Baldwin, Martin作者: 鉗子 時(shí)間: 2025-3-28 08:38
Machine Learningtificial intelligence. The field of machine learning (ML), which crosses these disciplines, studies the computational processes that underlie learning in both humans and machines. The field’s main objects of study are the artefacts [Langley 1996], specifically algorithms that improve their performan作者: Anhydrous 時(shí)間: 2025-3-28 12:10
Cartesian Granule Featurester introduces a new form of knowledge representation centred on Cartesian granule features, with corresponding induction algorithms being presented in the next chapter. This approach to knowledge representation and related induction algorithms, while not being a panacea for knowledge discovery, do 作者: 膽大 時(shí)間: 2025-3-28 18:35
Learning Cartesian Granule Feature Modelse in terms of a network of low-order semantically related features. Both classification and prediction problems can be modelled quite naturally in terms of these models. This chapter describes a constructive induction algorithm, G_DACG (Genetic Discovery of Additive Cartesian Granule feature models)作者: Melatonin 時(shí)間: 2025-3-28 18:55
Analysis of Cartesian Granule Feature Models. G_DACG automatically determines the language (Cartesian granule features and linguistic partitions) and parameters of a Cartesian granule feature model. Here, for the purposes of illustration and nanlysis, this approach is appplied in the context of artificial problems in both the classification a作者: 鉆孔 時(shí)間: 2025-3-29 00:16 作者: Allege 時(shí)間: 2025-3-29 04:03
0893-3405 perform a task autonomously or assist a human inperforming a task more efficiently.. .Soft Computing for Knowledge Discovery. provides a self-containedand systematic exposition of the key theory and algorithms that formthe core of knowledge discovery from a soft computing perspective. Itfocuses on k作者: 欺騙手段 時(shí)間: 2025-3-29 11:17 作者: 制造 時(shí)間: 2025-3-29 13:18
alysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac- tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that s作者: gustation 時(shí)間: 2025-3-29 16:23
James G. Shanahanalysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac- tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that s作者: 集聚成團(tuán) 時(shí)間: 2025-3-29 22:39 作者: 歡樂中國 時(shí)間: 2025-3-30 03:37
James G. Shanahanysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thougtit that such作者: 鐵塔等 時(shí)間: 2025-3-30 06:09
James G. Shanahan Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thougtit
