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標(biāo)題: Titlebook: Machine Learning and Data Mining in Pattern Recognition; Second International Petra Perner Conference proceedings 2001 Springer-Verlag Berl [打印本頁]

作者: FARCE 時間: 2025-3-21 16:54
書目名稱Machine Learning and Data Mining in Pattern Recognition影響因子(影響力)

書目名稱Machine Learning and Data Mining in Pattern Recognition影響因子(影響力)學(xué)科排名

書目名稱Machine Learning and Data Mining in Pattern Recognition網(wǎng)絡(luò)公開度

書目名稱Machine Learning and Data Mining in Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Machine Learning and Data Mining in Pattern Recognition被引頻次

書目名稱Machine Learning and Data Mining in Pattern Recognition被引頻次學(xué)科排名

書目名稱Machine Learning and Data Mining in Pattern Recognition年度引用

書目名稱Machine Learning and Data Mining in Pattern Recognition年度引用學(xué)科排名

書目名稱Machine Learning and Data Mining in Pattern Recognition讀者反饋

書目名稱Machine Learning and Data Mining in Pattern Recognition讀者反饋學(xué)科排名

作者: 逃避責(zé)任 時間: 2025-3-21 22:14
Machine Learning and Data Mining in Pattern Recognition978-3-540-44596-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

作者: scrutiny 時間: 2025-3-22 02:20
https://doi.org/10.1007/3-540-44596-XAlgorithmic Learning; Classification; Clustering; Data Mining; Handwriting Recognition; Information Retri

作者: 洞穴 時間: 2025-3-22 06:44

作者: MEET 時間: 2025-3-22 12:00

作者: 控制 時間: 2025-3-22 15:06
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620463.jpg

作者: 祖?zhèn)髫敭a(chǎn) 時間: 2025-3-22 19:26
Concepts Learning with Fuzzy Clustering and Relevance Feedbackzzy rules, we incorporate the meta knowledge into a probabilistic relevance feedback approach to improve the retrieval performance. Results presented on synthetic and real databases show that our approach provides better retrieval precision compared to the case when no retrieval experience is used.

作者: Modicum 時間: 2025-3-23 00:56
0302-9743 Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001..The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and

作者: 皮薩 時間: 2025-3-23 02:34

作者: Indelible 時間: 2025-3-23 09:33

作者: acolyte 時間: 2025-3-23 10:12

作者: Lymphocyte 時間: 2025-3-23 16:35

作者: flaggy 時間: 2025-3-23 19:48

作者: ASSET 時間: 2025-3-24 02:07
How to Automate Neural Net Based Learningor publications but in real life, fine tuning must become unnecessary. In the present paper an approach is demonstrated fulfilling this demand. Moreover referring to six medical classification and approximation problems of the PROBEN 1 benchmark collection this approach will be shown even to outperform fine tuned networks.

作者: 羽毛長成 時間: 2025-3-24 06:14

作者: Extemporize 時間: 2025-3-24 08:21
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Mapsnts an application of first-order rule induction to pattern recognition in topographic maps. Research issues related to the extraction of first-order logic descriptions from vectorized topographic maps are introduced. The recognition of morphological patterns in topographic maps of the Apulia region is presented as a case study.

作者: HILAR 時間: 2025-3-24 12:18

作者: 可以任性 時間: 2025-3-24 15:14
Validation of Text Clustering Based on Document ContentsBible. Four different translations, one Greek, one Latin, and two Finnish translations from years 1933/38 and 1992 were selected as test text material. Validation experiments were performed with a designed prototype version of the software application.

作者: 下船 時間: 2025-3-24 22:17

作者: catagen 時間: 2025-3-25 02:16
Conference proceedings 2001mmars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.

作者: 并置 時間: 2025-3-25 05:54

作者: BRAVE 時間: 2025-3-25 10:53

作者: PHIL 時間: 2025-3-25 14:05

作者: BILE 時間: 2025-3-25 19:49
Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?-Based Reasoning. Finally, we conclude that Dissimilarity based Classification is a variant of Case-Based Reasoning and that most of the open problems in Dissimilarity-based Classification are research topics of Case-Based Reasoning.

作者: vascular 時間: 2025-3-25 22:29
Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Dataear SVD-based optimization approach; where the optimization criterion is Shannon expected entropy. This optimal probability model accounts for the spatial characteristics of the data and is then used to derive spatial association patterns subject to chi-square statistic hypothesis test.

作者: 跳脫衣舞的人 時間: 2025-3-26 02:27

作者: Conjuction 時間: 2025-3-26 07:42
José Fco. Martinez-Trinidad,Guillermo Sánchez-Diaz

作者: Minikin 時間: 2025-3-26 09:48

作者: OUTRE 時間: 2025-3-26 15:11

作者: 陳腐思想 時間: 2025-3-26 18:45
Machine Learning and Data Mining in Pattern RecognitionSecond International

作者: 華而不實 時間: 2025-3-26 21:58
Technology of Text Miningmation seeking process in which documents are selected from a dynamic text stream. Text mining is a process of analysing text to extract information from it for particular purposes. Text categorisation means the process of clustering similar documents from a large document set. All these terms have

作者: 撫育 時間: 2025-3-27 03:39

作者: 翻動 時間: 2025-3-27 08:35
Technology of Text Mininge difference depends on the fact if pictures, tables, figures, and formulas are included or not. The common problem is to find the desired piece of information, a trend, or an undiscovered pattern from these sources. The problem is not a new one. Traditionally the problem has been considered under t

作者: 周年紀(jì)念日 時間: 2025-3-27 11:27
Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Miningl blood of patients. For the detection of these parameters, a variety of well established and new fashioned immunoassays are available. Since these test kits have been shown to yield highly different results of unknown clinical significance, we have compared a selection of commercial test kits and h

作者: ADOPT 時間: 2025-3-27 15:18
Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applicationstraction and temporal abstraction) with Case-based Reasoning. Recently we have started to apply the same method in the domain of Geomedicine, namely for the prognosis of the temporal spread of diseases, mainly of influenza, where just one of the two abstraction steps is necessary, that is the tempor

作者: refraction 時間: 2025-3-27 20:03
Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? A new case is interpreted based on its similarity to cases in the case base. The closest case with its associated result is selected and presented as output of the system. Recently, Dissimilarity-based Classification has been introduced due to the curse of dimensionality of feature spaces and the p

作者: 他很靈活 時間: 2025-3-27 23:02

作者: Commodious 時間: 2025-3-28 04:16

作者: 同義聯(lián)想法 時間: 2025-3-28 06:54
Learning XML Grammarsnitions (DTDs) of XML documents in situations either when the original DTD is missing or when a DTD should be (re) designed or when a DTD should be restricted to a more user-oriented view on a subset of the (given) DTD. The usefulness of such an approach is underlined by the importance of knowing ap

作者: 挫敗 時間: 2025-3-28 13:26

作者: 項目 時間: 2025-3-28 15:34

作者: CT-angiography 時間: 2025-3-28 20:54

作者: 菊花 時間: 2025-3-29 01:16

作者: 催眠 時間: 2025-3-29 04:22

作者: Coronary 時間: 2025-3-29 09:43

作者: 范例 時間: 2025-3-29 13:42

作者: decipher 時間: 2025-3-29 17:58
Validation of Text Clustering Based on Document Contentsesting text. The given prototype is matched with the existing document database or the monitored document flow. Our claim is that the new methodology is capable of automatic content-based clustering using the information of the document. To verify this hypothesis an experiment was designed with the

作者: labile 時間: 2025-3-29 20:28