標(biāo)題: Titlebook: Machine Learning and Data Mining in Pattern Recognition; 7th International Co Petra Perner Conference proceedings 2011 Springer-Verlag GmbH [打印本頁(yè)] 作者: 懇求 時(shí)間: 2025-3-21 18:54
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: 圍巾 時(shí)間: 2025-3-21 21:01
978-3-642-23198-8Springer-Verlag GmbH Berlin Heidelberg 2011作者: confide 時(shí)間: 2025-3-22 03:46
Machine Learning and Data Mining in Pattern Recognition978-3-642-23199-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: abreast 時(shí)間: 2025-3-22 08:00 作者: Tidious 時(shí)間: 2025-3-22 12:27
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620457.jpg作者: 情感 時(shí)間: 2025-3-22 16:03
https://doi.org/10.1007/978-3-642-23199-5algorithmic learning; data analysis; kernel methods; suppor vector machine; text analysis作者: 進(jìn)入 時(shí)間: 2025-3-22 19:27
Separability of Split Value Criterion with Weighted Separation Gainsed and discussed in comparison with the most popular decision tree node splitting criteria like information gain and Gini index. Because the new SSV definition introduces a parameter, some empirical analysis of the new parameter is presented. The new criterion turned out to be very successful in decision tree induction processes.作者: 國(guó)家明智 時(shí)間: 2025-3-22 22:48 作者: 牛的細(xì)微差別 時(shí)間: 2025-3-23 04:25 作者: CHOP 時(shí)間: 2025-3-23 07:13
Conference proceedings 201111, held in New York, NY, USA.The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining;作者: B-cell 時(shí)間: 2025-3-23 13:06
Smoothing Multinomial Na?ve Bayes in the Presence of Imbalancepared to known methods of smoothing, and is the only method tested that performs well regardless of the type of text preprocessing used. It is particularly effective compared to existing methods when the data is imbalanced.作者: 迅速成長(zhǎng) 時(shí)間: 2025-3-23 15:28
GENCCS: A Correlated Group Difference Approach to Contrast Set Miningn and all confidence to select the attribute-value pairs that are most highly correlated, in order to mine CGDs. Our experiments on real datasets demonstrate the efficiency of our approach and the interestingness of the CGDs discovered.作者: LAP 時(shí)間: 2025-3-23 20:32 作者: abreast 時(shí)間: 2025-3-24 00:18
Boosting Inspired Process for Improving AUCs much computation time in the training process. Our experiment results show that the new boosting algorithm . does improve ranking performance of AdaBoost when the base learning algorithm is the improved ranking favored decision tree C4.4 or na?ve Bayes.作者: Hirsutism 時(shí)間: 2025-3-24 03:28 作者: Exterior 時(shí)間: 2025-3-24 09:31
Decisions: Algebra and Implementationthe decision algebra operations efficiently and capture classification information in a non-redundant way. Compared to classical decision tree implementations, decision graphs gain learning and classification speed up to 20% without accuracy loss and reduce memory consumption by 44%. This is confirmed by experiments.作者: 混沌 時(shí)間: 2025-3-24 11:16 作者: 尾隨 時(shí)間: 2025-3-24 18:54
Parameter-Free Anomaly Detection for Categorical Data. In this paper, we propose a formal definition of outliers and formulize outlier detection as an optimization problem. To solve the optimization problem, we design a practical and parameter-free method, named ITB. Experimental results show that the ITB method is much more effective and efficient than existing main-stream methods.作者: 傷心 時(shí)間: 2025-3-24 21:11 作者: Nonporous 時(shí)間: 2025-3-25 01:29 作者: 親密 時(shí)間: 2025-3-25 05:23 作者: 連累 時(shí)間: 2025-3-25 08:06 作者: Abbreviate 時(shí)間: 2025-3-25 12:01 作者: 激怒 時(shí)間: 2025-3-25 16:47
Dictionary Learning Based on Laplacian Score in Sparse Coding with full-training-data-dictionary and others classic methods in the experiments. The classification performances on binary-class datasets and multi-class datasets from UCI repository demonstrate the effectiveness and efficiency of our method.作者: 畸形 時(shí)間: 2025-3-25 23:23 作者: adjacent 時(shí)間: 2025-3-26 00:19 作者: 猛然一拉 時(shí)間: 2025-3-26 05:37
Jamshaid G. Mohebzada,Michael M. Richter,Guenther Ruhe作者: 啞劇 時(shí)間: 2025-3-26 08:32
Machine Learning and Data Mining in Pattern Recognition7th International Co作者: 凝乳 時(shí)間: 2025-3-26 16:03
Jin Xu,Hong Man?nden erheblich verst?rkt werden (Resonanz, Resonanzboden des Klaviers). Dieses Mitklingen kann auch dann ausgel?st werden, wenn die Schwingungen in eine am unteren Ende verschlossene R?hre hineinfallen. Hier werden dann durch das Zusammenwirken (Interferenz) der zurückgeworfenen Wellen mit den neue作者: Optimum 時(shí)間: 2025-3-26 19:12 作者: 薄荷醇 時(shí)間: 2025-3-26 21:36
ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaveses share overlapping acquisition procedures, hence the cost of acquiring them as a group is less than the sum of the individual acquisition costs. Our experiments on the standard UCI datasets, a network flow detection application, as well as on synthetic datasets show that, the proposed approach ach作者: 圓木可阻礙 時(shí)間: 2025-3-27 03:41
Informative Variables Selection for Multi-relational Supervised Learning is equivalent to estimate the conditional density of the target variable given the input variable in non target table. Preliminary experiments on artificial and real data sets show that the approach allows to potentially identify relevant one-to-many variables. In this article, we focus on binary v作者: 萬(wàn)花筒 時(shí)間: 2025-3-27 06:01
Spherical Nearest Neighbor Classification: Application to Hyperspectral Datad metrics yields better classification accuracies especially for difficult tasks in spaces with complex irregular class boundaries. This promising outcome serves as a motivation for further development of new models to analyze hyperspectral images in spherical manifolds.作者: Medley 時(shí)間: 2025-3-27 10:09
Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifierestimate the posteriori probability; instead we construct a discriminant function that provides the same result. The criterion consists of the maximization of an expected cost function and a quadratic constraint of the discriminant function with a weighting function. By selecting different weighting作者: 人類學(xué)家 時(shí)間: 2025-3-27 17:00 作者: 卡死偷電 時(shí)間: 2025-3-27 21:47 作者: APNEA 時(shí)間: 2025-3-28 01:07 作者: 骯臟 時(shí)間: 2025-3-28 05:04
ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leavesith the mere act of acquisition of a feature, e.g. CPU time needed to compute the feature out of raw data, the dollar amount spent for gleaning more information, or the patient wellness sacrificed by an invasive medical test, etc. In such applications, a budget constrains the classification process 作者: CESS 時(shí)間: 2025-3-28 07:37
Informative Variables Selection for Multi-relational Supervised Learningl records in secondary tables in one-to-many relationship. To cope with this one-to-many setting, most of the existing approaches try to transform the multi-table representation, namely by propositionalisation, thereby losing the naturally compact initial representation and eventually introducing st作者: leniency 時(shí)間: 2025-3-28 13:33
Separability of Split Value Criterion with Weighted Separation Gainsterion. Here, the new formulation of the SSV criterion is presented and examined. The results obtained for 21 different benchmark datasets are presented and discussed in comparison with the most popular decision tree node splitting criteria like information gain and Gini index. Because the new SSV d作者: 并排上下 時(shí)間: 2025-3-28 17:11
Granular Instances Selection for Fuzzy Modelinge largely studied especially in the classification problem. However, little work has been done to implement instances selection in fuzzy modeling application. In this paper, we present a framework for fuzzy modeling using the granular instances selection. This method is based on the information gran作者: Frisky 時(shí)間: 2025-3-28 19:56
Parameter-Free Anomaly Detection for Categorical Dataions of expected behaviors. It is a major issue of data mining for discovering novel or rare events, actions and phenomena. We investigate outlier detection from a . data set. The problem is especially challenging because of difficulty in defining a meaningful similarity measure for categorical data作者: Preserve 時(shí)間: 2025-3-29 00:57
Fuzzy Semi-supervised Support Vector Machinesining set to learn accurate classifiers. For this, it uses both labelled and unlabelled data for training. It also modulates the effect of the unlabelled data in the learning process. Empirical evaluations showed that by additionally using unlabelled data, FSS-SVM requires less labelled training dat作者: 鬧劇 時(shí)間: 2025-3-29 05:04 作者: 沖擊力 時(shí)間: 2025-3-29 08:39 作者: 混合物 時(shí)間: 2025-3-29 12:24 作者: consolidate 時(shí)間: 2025-3-29 18:25 作者: 輕快帶來(lái)危險(xiǎn) 時(shí)間: 2025-3-29 21:17 作者: BINGE 時(shí)間: 2025-3-30 01:37
Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agentsthm and combines Case-Based Reasoning (CBR) and Heuristically Accelerated Reinforcement Learning (HARL) techniques..The experiments were made comparing differents approaches of Transfer Learning were actions learned in the acrobot problem can be used to speed up the learning of the policies of stabi作者: AV-node 時(shí)間: 2025-3-30 04:09
Exploration Strategies for Learned Probabilities in Smart Terrainlities that different types of objects meet needs, based on objects it has previously explored. This requires a rational strategy for determining which objects to explore next based on distances to objects, prevalence of similar objects, and amount of information the agent expects to gain. We define作者: 重力 時(shí)間: 2025-3-30 09:50
Sensitivity Analysis for Weak Constraint Generationn where not all existing knowledge can be formulated as constraints. As a result, one wants to change the plan in a way that weak constraints are relaxed. This can be done by changing some input constraints and obtaining a new input to the optimizer. We present a method for estimating the impact of 作者: Pituitary-Gland 時(shí)間: 2025-3-30 15:27 作者: phlegm 時(shí)間: 2025-3-30 16:40
Jin Xu,Hong Manerdichtungen und Verdünnungen, die unserem Ohr vermittelt den Geh?rseindruck eines Schalles geben. Der Schall pflanzt sich in der Luft (nicht im luftleeren Raum) nach allen Seiten fort, die Geschwindigkeit ist eine sehr verschiedene. W?hrend der Schall in der Luft 330 m in einer Sekunde zurücklegt, 作者: 得罪人 時(shí)間: 2025-3-30 21:14
8樓作者: 我悲傷 時(shí)間: 2025-3-31 01:16
9樓作者: conjunctivitis 時(shí)間: 2025-3-31 06:17
9樓作者: 散布 時(shí)間: 2025-3-31 10:13
9樓作者: 古代 時(shí)間: 2025-3-31 13:43
9樓作者: sulcus 時(shí)間: 2025-3-31 18:20
10樓作者: Rct393 時(shí)間: 2025-3-31 22:57
10樓作者: Accrue 時(shí)間: 2025-4-1 04:43
10樓作者: Armory 時(shí)間: 2025-4-1 07:47
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