標(biāo)題: Titlebook: Machine Learning and Data Mining in Pattern Recognition; 12th International C Petra Perner Conference proceedings 2016 Springer Internation [打印本頁] 作者: clannish 時(shí)間: 2025-3-21 17:54
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: 絕緣 時(shí)間: 2025-3-21 20:27 作者: 祖先 時(shí)間: 2025-3-22 02:37
https://doi.org/10.1007/978-3-319-41920-6data mining; machine learning; natural language processing; social network analysis; topic modeling; anom作者: Migratory 時(shí)間: 2025-3-22 04:49 作者: A精確的 時(shí)間: 2025-3-22 09:48 作者: 陳腐思想 時(shí)間: 2025-3-22 14:01
Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths,mith-Waterman) in order to automatically segment visitors according to the sequence of visited pages. Experimental results on synthetic datasets show that our approach out-performs other typically used alignment metrics, such as hybrid approaches or Dynamic Time Warping.作者: 無效 時(shí)間: 2025-3-22 19:07
Fast Detection of Block Boundaries in Block-Wise Constant Matrices,Then, we explain how to implement our method in a very efficient way. Finally, we provide some empirical evidence to support our claims and apply our approach to data coming from molecular biology which can be used for better understanding the structure of the chromatin.作者: 慢慢啃 時(shí)間: 2025-3-22 21:53 作者: 種子 時(shí)間: 2025-3-23 04:06 作者: installment 時(shí)間: 2025-3-23 08:15 作者: neuron 時(shí)間: 2025-3-23 10:41
AdaMS: Adaptive Mountain Silhouette Extraction from Images,eous parts in the silhouette and show how our algorithm uses this information to recalculate the silhouette in the surroundings of the error. We also show that our method yields good results by evaluating our approach on an existing data set of mountain images.作者: 現(xiàn)任者 時(shí)間: 2025-3-23 16:44
A Time Series Model of the Writing Process,s is advanced. An empirical distribution over the whole document of this feature specifies the writing style. So, dissimilarity of such distributions indicates a difference in the writing styles, and their coincidence implies the styles’ identity. Numerical experiments demonstrate high potential ability of the proposed approach.作者: Lament 時(shí)間: 2025-3-23 18:46
Semantic Aware Bayesian Network Model for Actionable Knowledge Discovery in Linked Data, it not only accomodates the sematnic aspects in LD, but also caters to the need of connectign different data-sets from different domains. We evaluate the proposed model on a Bone Dysplasia dataset, Experimental results show promising perfomance.作者: 人工制品 時(shí)間: 2025-3-24 01:40
Driving Style Identification with Unsupervised Learning,teristics). Note as a distinguished particular feature of the presented method: it does not require availability of the training labels. The database includes 2736 drivers with 200 variable length driving trajectories each. We tested our model (with competitive results) online during Kaggle-based AXA Drivers Telematics Challenge in 2015.作者: 健忘癥 時(shí)間: 2025-3-24 02:21 作者: DEFT 時(shí)間: 2025-3-24 07:01
Conference proceedings 2016The topics range 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: 卵石 時(shí)間: 2025-3-24 13:33
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets,ne non-closed high-utility itemsets. Furthermore, it also introduces novel utility upper-bounds and a transaction merging mechanism. Experimental results shows that EFIM-Closed can be more than an order of magnitude faster and consumes more than an order of magnitude less memory than the previous state-of-art CHUD algorithm.作者: 出處 時(shí)間: 2025-3-24 15:26 作者: 責(zé)問 時(shí)間: 2025-3-24 22:23
Conference proceedings 20162016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the d作者: 我還要背著他 時(shí)間: 2025-3-25 02:45
Robert E. Marmelstein,Alexander L. Hunt,Christoper Eroh作者: homeostasis 時(shí)間: 2025-3-25 06:09 作者: 合唱隊(duì) 時(shí)間: 2025-3-25 08:21 作者: 衰老 時(shí)間: 2025-3-25 14:43 作者: 我吃花盤旋 時(shí)間: 2025-3-25 17:06
A Hybrid Framework for News Clustering Based on the DBSCAN-Martingale and LDA,作者: 暫時(shí)別動 時(shí)間: 2025-3-25 22:35
Machine Learning and Data Mining in Pattern Recognition12th International C作者: Irksome 時(shí)間: 2025-3-26 01:58
leinen Legierungszus?tze von Kupfer, Mangan, Silizium oder Magnesium wird das Aluminium erheblich fester und h?rter. Das Legieren der Metalle bringt aber auch gewisse Nachteile mit sich. So nimmt mit steigendem Kohlenstoff-Gehalt die Dehnungsf?higkeit des Eisens ab. Manche Legierungen des Aluminiums作者: 食草 時(shí)間: 2025-3-26 04:56 作者: Neonatal 時(shí)間: 2025-3-26 11:25 作者: GEAR 時(shí)間: 2025-3-26 15:30
Yu Zhang,Tse-Chuan Yang,Stephen A. Matthewstellen bearbeitet werden k?nnte. Vorstand und Auf- sichtsrat eines Unternehmens sollten für Theorie, Organisation und Praxis der Investitionsrechnung ebensoviel Interesse aufbringen wie die Angestell- ten, die die tats?chliche Arbeit leisten. Neben den rein betrieblichen Problemen der Investitionsentscheidung978-3-663-03339-4978-3-663-04528-1作者: 標(biāo)準(zhǔn) 時(shí)間: 2025-3-26 17:58
Jerry Chun-Wei Lin,Wensheng Gan,Philippe Fournier-Viger,Tzung-Pei Hongrbeitet werden k?nnte. Vorstand und Auf- sichtsrat eines Unternehmens sollten für Theorie, Organisation und Praxis der Investitionsrechnung ebensoviel Interesse aufbringen wie die Angestell- ten, die die tats?chliche Arbeit leisten. Neben den rein betrieblichen Problemen der Investitionsentscheidung作者: 文藝 時(shí)間: 2025-3-26 22:36 作者: abracadabra 時(shí)間: 2025-3-27 01:54
Evolving a Low Price Recovery Strategy for Distressed Securities,e selection and extraction, design of various genetic programs for evolving the agent, and testing approaches for the agents. We demonstrate that the evolved agent yields results outperform a randomized version of the LPRS and the benchmark Standard & Poor’s 500 (S&P500) stock market index.作者: 生來 時(shí)間: 2025-3-27 09:15
A Spectral Clustering Based Outlier Detection Technique,s by using the information of eigenvalues and eigenvectors statistically in the feature space. We compare the performance of our methods with distance-based outlier detection methods and density-based outlier detection methods. Experimental results show the effectiveness of our algorithm for identif作者: 證明無罪 時(shí)間: 2025-3-27 10:58 作者: Insubordinate 時(shí)間: 2025-3-27 16:06
Using Support Vector Machines for Intelligent Service Agents Decision Making,s to create the normal model and compared their overall performance together as well as the benchmark, that is, rational web services without learning abilities. The results show that the Gaussian kernel outperforms the other two learning models as well as the benchmark non-learning model by maintai作者: 商議 時(shí)間: 2025-3-27 20:47
K-Means over Incomplete Datasets Using Mean Euclidean Distance,s the centroid is computed. Even so, the runtime complexity of the suggested k-means is the same as the standard k-means over complete datasets. We experimented on six standard numerical datasets from different fields and compared the performance of our proposed k-means to other basic methods. Our e作者: forestry 時(shí)間: 2025-3-28 00:39 作者: 反省 時(shí)間: 2025-3-28 02:48 作者: 小木槌 時(shí)間: 2025-3-28 09:51
Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression, prior. This spares the model from needing to memorize the entire data of previous groups. The posterior inference for iMG-GLM-1 is done using Variational Inference and that for iMG-GLM-2 using a simple Metropolis Hastings Algorithm. We demonstrate iMG-GLM’s superior accuracy in comparison to well k作者: foliage 時(shí)間: 2025-3-28 13:39
n oder man legiert absichtlich zwei bzw. mehrere Stoffe miteinander, um bessere Werkstoffeigenschaften zu erzielen. Von der Veredlung der Metalle durch Legieren mit anderen Metallen oder Nichtmetallen macht man in der Technik der metallischen Werkstoffe weitgehenden Gebrauch. Erst die Legierungen de作者: NATTY 時(shí)間: 2025-3-28 15:00 作者: CEDE 時(shí)間: 2025-3-28 19:19 作者: Trabeculoplasty 時(shí)間: 2025-3-28 23:28 作者: yohimbine 時(shí)間: 2025-3-29 03:08 作者: 商業(yè)上 時(shí)間: 2025-3-29 08:08 作者: conscience 時(shí)間: 2025-3-29 14:07
Evolving a Low Price Recovery Strategy for Distressed Securities,oit broad market trends, we choose a very specific strategy on the assumption that it will be easier to learn, require less input data to do so, and more straightforward to evaluate the agents performance. In this case, we select a Low Price Recovery Strategy (LPRS), which involves picking stocks th作者: 原始 時(shí)間: 2025-3-29 17:31
A Spectral Clustering Based Outlier Detection Technique,minal activities in electronic commerce and so on. Many techniques have been developed for outlier detection, including distribution-based outlier detection algorithm, depth-based outlier detection algorithm, distance-based outlier detection algorithm, density-based outlier detection algorithm and c作者: Relinquish 時(shí)間: 2025-3-29 23:23 作者: landmark 時(shí)間: 2025-3-30 03:39
A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs, mining closed frequent connected subgraphs is a problem that requires an exponential time. In this paper, we present ., an algorithm for finding closed frequent unique edge label subgraphs. . uses a search space pruning and applies the strong accessibility property that allows to ignore not interes作者: 憤怒歷史 時(shí)間: 2025-3-30 05:44 作者: 合乎習(xí)俗 時(shí)間: 2025-3-30 08:54
Using Support Vector Machines for Intelligent Service Agents Decision Making, systems they always seek to maximize their overall utilities. Existing approaches either manage to enhance the quality of service provided by web services or group them together to corporate a stronger web service by gathering web services of the similar functionalities. Although these approaches h作者: nominal 時(shí)間: 2025-3-30 12:39 作者: FRAX-tool 時(shí)間: 2025-3-30 19:29 作者: Choreography 時(shí)間: 2025-3-31 00:37 作者: 休閑 時(shí)間: 2025-3-31 03:57
A Time Series Model of the Writing Process,ecognition. The principal weakness of the methods used in this area is that they assess the similarity of text styles without any regard to their surroundings. This paper proposes a novel mathematical model of the writing process striving to quantify this dependency. A text is divided into a series 作者: 護(hù)身符 時(shí)間: 2025-3-31 08:00 作者: SKIFF 時(shí)間: 2025-3-31 12:10
Driving Style Identification with Unsupervised Learning,en any two consequitive points is a constant. Suppose that most of the drivers have safe driving style with similar statistical characteristics. Using above assumption as a main ground, we shall go through the list of all drivers (available in the database) assuming that the current driver is “bad”.作者: 注視 時(shí)間: 2025-3-31 14:30
