標(biāo)題: Titlebook: Machine Learning and Data Mining in Pattern Recognition; 9th International Co Petra Perner Conference proceedings 2013 Springer-Verlag Berl [打印本頁(yè)] 作者: 解毒藥 時(shí)間: 2025-3-21 19:26
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition影響因子(影響力)
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition被引頻次
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition被引頻次學(xué)科排名
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition年度引用
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition年度引用學(xué)科排名
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition讀者反饋
書(shū)目名稱(chēng)Machine Learning and Data Mining in Pattern Recognition讀者反饋學(xué)科排名
作者: 多骨 時(shí)間: 2025-3-21 22:38 作者: 先兆 時(shí)間: 2025-3-22 02:29 作者: 新陳代謝 時(shí)間: 2025-3-22 06:50
Jie Gao,J?rg Denzingermit ., Heer, verbindet und auch als Substantiv gebraucht: aus vier Gliedern (Theilen) zusammengesetztes Heer, n?mlich von Elefanten, Wagen, Pferden und Fussg?ngern (Soldaten). Aus diesen ?Waffen“ bestand in der That das indische Heer, uns seit den Schuljahren aus Alexanders des Grossen indischen Kri作者: 憎惡 時(shí)間: 2025-3-22 09:43
Sanghoon Lee,Saeid Belkasim,Yanqing Zhangerden k?nnen. Der Leitfaden ist ein Werk für die Baubereiche bzw. die Aufgaben der Sachver- st?ndigen für das Bauwesen. Durch die Kombination zwischen einem lange Jahre im Baubereich t?tigen Sach- verst?ndigen und einem erfahrenen Richter aus einem Bausenat soll vor allem die Arbeit aus der Sicht de作者: Colonoscopy 時(shí)間: 2025-3-22 14:24 作者: 香料 時(shí)間: 2025-3-22 20:40 作者: 墻壁 時(shí)間: 2025-3-22 21:23 作者: Cabinet 時(shí)間: 2025-3-23 02:23
Classification and Outlier Detection Based on Topic Based Pattern Synthesis,ng. Hence, we make use of Latent Dirichlet Allocation to reduce the dimensionality of the dataset. An extensive experimental evaluation carried out on 25 real-world imbalanced datasets shows that pre-processing of data using NPS is effective and has a greater impact on the classification accuracy ov作者: 跑過(guò) 時(shí)間: 2025-3-23 06:59 作者: 跳動(dòng) 時(shí)間: 2025-3-23 11:20
,Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease,hy. With respect to the three-class problem (FoG vs. pre-FoG vs. normal locomotion), we show that FoG prediction performance is highly patient-dependent, reaching an F1-measure of 56% in the pre-FoG class for patients who exhibit enough gait degradation before FoG.作者: EXUDE 時(shí)間: 2025-3-23 16:01 作者: 凝結(jié)劑 時(shí)間: 2025-3-23 21:09
Sinziana Mazilu,Alberto Calatroni,Eran Gazit,Daniel Roggen,Jeffrey M. Hausdorff,Gerhard Tr?sterigen Sachverst?ndigen und eines erfahrenen Richters aus dem Bausenat eines Oberlandesgerichts den Sachverst?ndigen Ratschl?ge zu erteilen, wie sie ihre T?tigkeit bei Gericht erfolgreich wahrzunehmen imstan978-3-8348-9201-0作者: Mri485 時(shí)間: 2025-3-23 23:11
Moch Arif Bijaksana,Yuefeng Li,Abdulmohsen Algarnindigen für das Bauwesen. Durch die Kombination zwischen einem lange Jahre im Baubereich t?tigen Sach- verst?ndigen und einem erfahrenen Richter aus einem Bausenat soll vor allem die Arbeit aus der Sicht de978-3-322-96830-2作者: CURT 時(shí)間: 2025-3-24 04:21 作者: staging 時(shí)間: 2025-3-24 09:45
Conference proceedings 2013er the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.作者: nonsensical 時(shí)間: 2025-3-24 12:02
0302-9743 proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoret作者: antidepressant 時(shí)間: 2025-3-24 18:20
Conference proceedings 201313, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for 作者: FOIL 時(shí)間: 2025-3-24 22:37 作者: rheumatology 時(shí)間: 2025-3-25 00:57 作者: Filibuster 時(shí)間: 2025-3-25 05:03
Analytic Feature Selection for Support Vector Machines,esults on high dimensional text data sets, with features that can be organized into a handful of feature types; for example, unigrams, bigrams or semantic structural features. We believe this algorithm is a novel and effective approach to solving the feature selection problem for linear SVMs.作者: 認(rèn)識(shí) 時(shí)間: 2025-3-25 07:40
Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform,perimental results on AVIRIS hyperspectral image dataset that contains various types of field crops. In our experimental results, we have obtained overall classification accuracy around 84 percent for the classification of 16 types of field crops.作者: 范例 時(shí)間: 2025-3-25 13:05
The Gapped Spectrum Kernel for Support Vector Machines,lt, we obtain an algorithm to compute the wildcard kernel that is provably faster than the state-of-the-art method. The recently introduced .-suffix array data structure plays an important role here. Another result is a better trade-off between the speed and accuracy of classification, which we demonstrate by protein classification experiment.作者: Ataxia 時(shí)間: 2025-3-25 18:10
Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Inde of the domain. This research applies the DSGA algorithm to training data which produces a set of rules. The rules are applied to a set of testing data to obtain results. The DSGA algorithm did very well in predicting stock movement.作者: Goblet-Cells 時(shí)間: 2025-3-25 22:55 作者: 嚴(yán)厲批評(píng) 時(shí)間: 2025-3-26 02:09 作者: 主動(dòng) 時(shí)間: 2025-3-26 06:15
SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms,lustering and data mining in terms of runtime, the rate of unstable data points and internal error. This paper also presents the comparison of our algorithm with simple SOM and K-Means + SOM by using a real world data. The results show that SOM++ has a good performance in stability and significantly outperforms three other methods training time.作者: 爭(zhēng)吵 時(shí)間: 2025-3-26 11:50
0302-9743 ical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.978-3-642-39711-0978-3-642-39712-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Hangar 時(shí)間: 2025-3-26 12:41
Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learnictability of large scale damage by SOM. Learning data corresponding to middle and large scale damage are presented more often. Average accuracy for actually large scale damage data was increased by about 9%. The accuracy for actually large scale of numbers of fatalities and houses under water was increased by 25% and 20%, respectively.作者: 類(lèi)人猿 時(shí)間: 2025-3-26 16:47
3D Geovisualisation Techniques Applied in Spatial Data Mining, afterwards, the efficiency of these techniques is demonstrated with the use of a real database. The application has shown to be very interesting in interpreting obtained results, such as patterns that occurred in a same locality and to provide support for activities which could be done as from the visualisation of results.作者: 雀斑 時(shí)間: 2025-3-26 22:36
Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going tions, is rather effective for this task. Again we provide comparison results against Artificial Neural Networks and Hidden Markov Models, reporting statistically significant results favoring our choice of classifiers; and we validate our findings using the chance-corrected Cohen’s Kappa statistic for contingency tables.作者: reptile 時(shí)間: 2025-3-27 05:00
Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering,uldin Index (DBI), intra similarity and inter similarity measures. At last, the final clusters were tagged using top words and association rules. Experiments show that music could be organized in related groups and tagged using unsupervised techniques as clustering with only lyrics information.作者: 啤酒 時(shí)間: 2025-3-27 06:54
Multi-document Text Summarization Using Topic Model and Fuzzy Logic,ce. A fuzzy inference system is used to generate the final summarization. Our summarization results are evaluated against some well-known summary systems and performed well in divergences and similarities.作者: canonical 時(shí)間: 2025-3-27 12:34
Preceding Rule Induction with Instance Reduction Methods,tasets, pruning the training set using ENN, AllKnn or the hybrid significantly reduces the number of rules generated by CN2, without adversely affecting the predictive performance. The hybrid achieves the highest average predictive accuracy.作者: Mortal 時(shí)間: 2025-3-27 14:04 作者: ANTE 時(shí)間: 2025-3-27 19:08 作者: 顛簸下上 時(shí)間: 2025-3-27 22:32
Carlos Roberto Valêncio,Thatiane Kawabata,Camila Alves de Medeiros,Rogéria Cristiane Grat?o de Souzam desselben, die Mannichfaltigkeit der Combinationen, die im Spiele vorkommen, kennen lernen und damit vertraut werden. Um dies vollst?ndig zu erreichen, darf er aber nicht eilen, er muss jede Partie langsam und genau durchspielen und jeden Zug sorgf?ltig prüfen. Am besten aber wird er thun — und da作者: 吹牛需要藝術(shù) 時(shí)間: 2025-3-28 03:26 作者: CRAB 時(shí)間: 2025-3-28 09:55 作者: 沒(méi)有貧窮 時(shí)間: 2025-3-28 11:29
Sinziana Mazilu,Alberto Calatroni,Eran Gazit,Daniel Roggen,Jeffrey M. Hausdorff,Gerhard Tr?sterh die Rechtssuchenden und deren Rechtsanw?lte immer mehr bewusst. Immer mehr Seminarveranstalter nehmen Seminare zum Sachverst?ndigenbeweis in ihr Programm auf. Im Rahmen dieser Seminare, aber auch im Gedankenaustausch zwischen Richtern und Rechtsanw?lten wird geschildert, dass nicht wenige Sachvers作者: conscribe 時(shí)間: 2025-3-28 18:31
Sanghoon Lee,Saeid Belkasim,Yanqing Zhangormale" Bür- ger kaum oder nicht mehr in der Lage ist, richtige Entscheidungen zu treffen, die au?erhalb seiner eigenen beruflichen Ausbildung oder seines allgemeinen t?gli- chen Wirkungsbereiches liegen. Dies gilt nicht nur für Privatpersonen, sondern auch für Gesch?ftsleute, juristi- sche Personen作者: FATAL 時(shí)間: 2025-3-28 21:31
Moch Arif Bijaksana,Yuefeng Li,Abdulmohsen Algarnien Berufsgruppen so differenziert geworden, dass der "normale" Bür- ger kaum oder nicht mehr in der Lage ist, richtige Entscheidungen zu treffen, die au?erhalb seiner eigenen beruflichen Ausbildung oder seines allgemeinen t?gli- chen Wirkungsbereiches liegen. Dies gilt nicht nur für Privatpersonen, 作者: Facilities 時(shí)間: 2025-3-28 22:55 作者: 能得到 時(shí)間: 2025-3-29 06:00 作者: 極大的痛苦 時(shí)間: 2025-3-29 10:24 作者: CHAR 時(shí)間: 2025-3-29 15:16 作者: Aromatic 時(shí)間: 2025-3-29 15:58 作者: Ambiguous 時(shí)間: 2025-3-29 20:27 作者: aneurysm 時(shí)間: 2025-3-30 03:46
Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow,f various knowledge-based strategies that use information gathered from the miners and other agents to adjust the whole system to the particular data set that is mined. Among these strategies, in addition to the basic exchange of hints between the miners, are parameter adjustment of the miners and t作者: uveitis 時(shí)間: 2025-3-30 06:32 作者: 同音 時(shí)間: 2025-3-30 11:02 作者: ACE-inhibitor 時(shí)間: 2025-3-30 14:37 作者: 裁決 時(shí)間: 2025-3-30 18:02 作者: Detoxification 時(shí)間: 2025-3-30 20:49
,Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease,t the patient’s quality of life. Wearable systems that detect FoG have been developed to help patients resume walking by means of auditory cueing. However, current methods for automated detection are not yet ideal. In this paper, we first compare feature learning approaches based on time-domain and 作者: magenta 時(shí)間: 2025-3-31 02:36 作者: 休閑 時(shí)間: 2025-3-31 05:12
A Pattern Based Two-Stage Text Classifier, documents that are closed to positive documents. Therefore, it is hard for a single classifier to clearly classify incoming documents into classes. This paper proposes a novel gradual problem solving to create a two-stage classifier. The first stage identifies reliable negatives (negative documents作者: Prostaglandins 時(shí)間: 2025-3-31 11:36 作者: Dri727 時(shí)間: 2025-3-31 15:38 作者: tenuous 時(shí)間: 2025-3-31 20:10
Preceding Rule Induction with Instance Reduction Methods,e predictive accuracy and size of rule-sets generated from 24 datasets from the UCI Machine Learning Repository. Three instance reduction algorithms (Edited Nearest Neighbour, AllKnn and DROP5) are compared. Each one is used to reduce the size of the training set, prior to inducing a set of rules us作者: ACME 時(shí)間: 2025-3-31 22:35 作者: HUSH 時(shí)間: 2025-4-1 05:52 作者: Processes 時(shí)間: 2025-4-1 08:18
SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms,ering algorithm SOM++, which first uses K-Means++ method to determine the initial weight values and the starting points, and then uses Self-Organizing Map (SOM) to find the final clustering solution. The purpose of this algorithm is to provide a useful technique to improve the solution of the data c作者: 缺乏 時(shí)間: 2025-4-1 13:54
https://doi.org/10.1007/978-3-642-39712-7algorithms; feature selection; prediction; support vector machines; text classification; algorithm analys作者: 灌溉 時(shí)間: 2025-4-1 17:04
Petra PernerProceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition作者: 頂點(diǎn) 時(shí)間: 2025-4-1 19:24
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620462.jpg作者: Microaneurysm 時(shí)間: 2025-4-2 00:06
