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標(biāo)題: Titlebook: Discovery Science; First International Setsuo Arikawa,Hiroshi Motoda Conference proceedings 1998 Springer-Verlag Berlin Heidelberg 1998 ag [打印本頁(yè)]

作者: 使作嘔    時(shí)間: 2025-3-21 17:58
書目名稱Discovery Science影響因子(影響力)




書目名稱Discovery Science影響因子(影響力)學(xué)科排名




書目名稱Discovery Science網(wǎng)絡(luò)公開度




書目名稱Discovery Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Discovery Science被引頻次




書目名稱Discovery Science被引頻次學(xué)科排名




書目名稱Discovery Science年度引用




書目名稱Discovery Science年度引用學(xué)科排名




書目名稱Discovery Science讀者反饋




書目名稱Discovery Science讀者反饋學(xué)科排名





作者: 侵害    時(shí)間: 2025-3-21 21:42

作者: Talkative    時(shí)間: 2025-3-22 01:28
The Computer-Aided Discovery of Scientific Knowledge,ze five historical stages of the scientific discovery process, which we use as an organizational framework in describing applications. We also identify five distinct steps during which developers or users can influence the behavior of a computational discovery system. Rather than criticizing such in
作者: ALIEN    時(shí)間: 2025-3-22 06:17

作者: Anhydrous    時(shí)間: 2025-3-22 11:35

作者: 過于平凡    時(shí)間: 2025-3-22 14:08

作者: 過于平凡    時(shí)間: 2025-3-22 18:09

作者: 顯微鏡    時(shí)間: 2025-3-22 23:21
Uniform Characterizations of Polynomial-Query Learnabilities, disjointness and exhaustiveness queries, and their weak (or restricted) versions where no counterexample is returned. For each of all possible combinations of these queries, we uniformly give complete characterizations of boolean concept classes that are learnable using a polynomial number of polyn
作者: decode    時(shí)間: 2025-3-23 01:28

作者: FRET    時(shí)間: 2025-3-23 05:39

作者: cocoon    時(shí)間: 2025-3-23 10:22

作者: restrain    時(shí)間: 2025-3-23 17:09

作者: follicle    時(shí)間: 2025-3-23 21:47

作者: 序曲    時(shí)間: 2025-3-23 23:46

作者: AVID    時(shí)間: 2025-3-24 06:16

作者: 協(xié)定    時(shí)間: 2025-3-24 09:34
Discovery of Unknown Causes from Unexpected Co-occurrence of Inferred Known Causes,ent which may have caused observed events. This makes it difficult to have the computer infer significant causes of observed events. However, the computer inference may supply good hints for humans, because unexpected relations detected between known factors by a computer suggest unknown events to h
作者: 詢問    時(shí)間: 2025-3-24 14:21

作者: 打擊    時(shí)間: 2025-3-24 16:25

作者: 生氣的邊緣    時(shí)間: 2025-3-24 20:51

作者: aquatic    時(shí)間: 2025-3-25 02:18

作者: CAND    時(shí)間: 2025-3-25 03:51

作者: 量被毀壞    時(shí)間: 2025-3-25 09:02

作者: META    時(shí)間: 2025-3-25 13:59

作者: 鐵砧    時(shí)間: 2025-3-25 17:03

作者: TEM    時(shí)間: 2025-3-25 20:23

作者: 英寸    時(shí)間: 2025-3-26 00:21

作者: 兇猛    時(shí)間: 2025-3-26 06:03
https://doi.org/10.1007/978-3-322-81258-2tedly strong co-occurrences among known events. Then the detected relations are expressed to humans, which make significant unknown causal events easily understood. The Cost-based Cooperation of Multi-Abducers (CCMA), which we employ for the inference of causes, contributes for our purpose of discov
作者: 造反,叛亂    時(shí)間: 2025-3-26 09:16
St?dtische Visualit?t und Materialit?tule extraction from the linear formula obtained by the nonparametric regression. We have to confirm that the algorithm works well for artificial data before the algorithm is applied to real data. This paper shows that the algorithm works well for artificial data
作者: EXPEL    時(shí)間: 2025-3-26 16:07
Philosophical Aspects of Scientific Discovery: A Historical Survey,paradigm located discoveries in the context of scientific revolutions. Moreover, he paid attention to the function of metaphor in scientific discoveries. Metaphorical use of existing terms and concepts to overcome theoretical difficulties often plays a decisive role in developping new ideas. In the
作者: 凌辱    時(shí)間: 2025-3-26 19:55
Learning, Mining, or Modeling? A Case Study from Paleoecology, the methods achieve about the same prediction accuracy on modern specimens, but the Bayesian methods and the involved regression methods seem to yield the best reconstructions. The advantage of the Bayesian methods is that they also give good estimates on the variability of the reconstructions
作者: Gastric    時(shí)間: 2025-3-26 21:21

作者: 圍裙    時(shí)間: 2025-3-27 04:32

作者: harbinger    時(shí)間: 2025-3-27 09:22

作者: 抑制    時(shí)間: 2025-3-27 11:43

作者: ungainly    時(shí)間: 2025-3-27 16:01
Discovering Conceptual Differences among People from Cases,cases for motor diagnosis with artificially encoded CD. Admittedly our approach is simple, however, the result shows that our approach is effective to some extent as the first step toward dealing with the issue of CD among people
作者: Acetaminophen    時(shí)間: 2025-3-27 18:04
Discovery of Unknown Causes from Unexpected Co-occurrence of Inferred Known Causes,tedly strong co-occurrences among known events. Then the detected relations are expressed to humans, which make significant unknown causal events easily understood. The Cost-based Cooperation of Multi-Abducers (CCMA), which we employ for the inference of causes, contributes for our purpose of discov
作者: Classify    時(shí)間: 2025-3-28 01:11

作者: Biofeedback    時(shí)間: 2025-3-28 05:54
Designing Functions Using Types,ilosophers rather concentrated on the logical analysis of science and set the problem of discovery aside. Logical positivists distinguished a context of discovery from a context of justification and excluded the former from their analysis of scientific theories. Although Popper criticized their indu
作者: adjacent    時(shí)間: 2025-3-28 07:01
https://doi.org/10.1007/978-3-031-10422-0 problem where Bayesian methods are useful and allow plausible inferences from the small and vague data sets available. Paleoecological reconstruction aims at estimating temperatures in the past. Knowledge about present day abundances of certain species are combined with data about the same species
作者: fabricate    時(shí)間: 2025-3-28 11:48
Style: Text, Cognition and Corpora,ze five historical stages of the scientific discovery process, which we use as an organizational framework in describing applications. We also identify five distinct steps during which developers or users can influence the behavior of a computational discovery system. Rather than criticizing such in
作者: 態(tài)度暖昧    時(shí)間: 2025-3-28 17:53

作者: nascent    時(shí)間: 2025-3-28 22:39
https://doi.org/10.1007/978-3-322-99576-6d combinatorial chemistry, as well as externally from sources such as the human genome project. The industry is predominantly knowledge-driven. For instance, knowledge is required within computational chemistry for pharmacophore identification, as well as for determining biological function using se
作者: EVEN    時(shí)間: 2025-3-28 22:54

作者: lethal    時(shí)間: 2025-3-29 05:44

作者: metropolitan    時(shí)間: 2025-3-29 09:15
Otto Blum,G. Schimpff,W. Schmidt disjointness and exhaustiveness queries, and their weak (or restricted) versions where no counterexample is returned. For each of all possible combinations of these queries, we uniformly give complete characterizations of boolean concept classes that are learnable using a polynomial number of polyn
作者: 其他    時(shí)間: 2025-3-29 14:17

作者: ovation    時(shí)間: 2025-3-29 17:35

作者: CHYME    時(shí)間: 2025-3-29 22:09

作者: Eviction    時(shí)間: 2025-3-30 00:14
Otto Blum,G. Schimpff,W. Schmidtpoems. As a formalism for characteristics, we use regular patterns where the constant parts are limited to sequences of auxiliary verbs and postpositional particles. We call such patterns fushi. The problem is to find automatically significant fushi patterns that characterize the poems.Solving this
作者: 莊嚴(yán)    時(shí)間: 2025-3-30 05:54
Otto Blum,G. Schimpff,W. Schmidt metric can be used to measure dissimilarities between objects. We propose a method for retrieving objects within some distance from a given object by utilizing a spatial indexing/access method R-tree. Since R-tree usually assumes a Euclidean metric, we have to embed objects into a Euclidean space.
作者: licence    時(shí)間: 2025-3-30 08:52

作者: Facet-Joints    時(shí)間: 2025-3-30 14:02
Otto Blum,G. Schimpff,W. Schmidtnception and thus can have different concepts even on the same thing.Removing CD when people with different backgrounds and knowledge carry out collaborative works as a group; otherwise they cannot communicate ideas and establish mutual understanding even on the same thing. In our approach knowledge
作者: corporate    時(shí)間: 2025-3-30 17:59
https://doi.org/10.1007/978-3-322-81258-2ent which may have caused observed events. This makes it difficult to have the computer infer significant causes of observed events. However, the computer inference may supply good hints for humans, because unexpected relations detected between known factors by a computer suggest unknown events to h
作者: BOOST    時(shí)間: 2025-3-31 00:06

作者: 警告    時(shí)間: 2025-3-31 03:00
St?dtische Visualit?t und Materialit?tween brain areas and brain functions can be understood. Researchers are trying to heuristically discover the relations between brain areas and brain functions from brain images. As the relations between brain areas and brain functions are described by rules, the discovery of relations between brain
作者: 欺騙世家    時(shí)間: 2025-3-31 05:33

作者: 青少年    時(shí)間: 2025-3-31 10:39
Discovery Science978-3-540-49292-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: propose    時(shí)間: 2025-3-31 15:07
Setsuo Arikawa,Hiroshi MotodaIncludes supplementary material:
作者: 不出名    時(shí)間: 2025-3-31 20:58
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281074.jpg
作者: Headstrong    時(shí)間: 2025-4-1 00:42

作者: Herpetologist    時(shí)間: 2025-4-1 04:05

作者: Bumble    時(shí)間: 2025-4-1 07:43

作者: Perineum    時(shí)間: 2025-4-1 12:27
0302-9743 DS‘98, held in Fukuoka, Japan, in December 1998..The volume presents 28 revised full papers selected from a total of 76 submissions. Also included are five invited contributions and 34 selected poster presentations. The ultimate goal of DS‘98 and this volume is to establish discovery science as a ne
作者: cacophony    時(shí)間: 2025-4-1 17:17

作者: stratum-corneum    時(shí)間: 2025-4-1 19:31

作者: reception    時(shí)間: 2025-4-2 00:46

作者: 悶熱    時(shí)間: 2025-4-2 06:31
The Computer-Aided Discovery of Scientific Knowledge,omputer cooperation, we report seven examples of novel, computer-aided discoveries that have appeared in the scientific literature, along with the role that humans played in each case. We close by recommending that future systems provide more explicit support for human intervention in the discovery process




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