標題: Titlebook: Knowledge Discovery in Databases: PKDD 2006; 10th European Confer Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoul Conference proceedings [打印本頁] 作者: 無緣無故 時間: 2025-3-21 19:06
書目名稱Knowledge Discovery in Databases: PKDD 2006影響因子(影響力)
書目名稱Knowledge Discovery in Databases: PKDD 2006影響因子(影響力)學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2006網(wǎng)絡(luò)公開度
書目名稱Knowledge Discovery in Databases: PKDD 2006網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2006被引頻次
書目名稱Knowledge Discovery in Databases: PKDD 2006被引頻次學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2006年度引用
書目名稱Knowledge Discovery in Databases: PKDD 2006年度引用學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2006讀者反饋
書目名稱Knowledge Discovery in Databases: PKDD 2006讀者反饋學(xué)科排名
作者: 符合你規(guī)定 時間: 2025-3-21 22:15 作者: cacophony 時間: 2025-3-22 04:01
Learning to Have Fune of defeating strong human players. Most of the literature has been devoted to two-player, perfect information games—games where the research results have little wide-spread applicability. However, over the past few years the need for improved AI techniques have become apparent in commercial comput作者: QUAIL 時間: 2025-3-22 05:00 作者: 公共汽車 時間: 2025-3-22 11:13
Challenges of Urban Sensingntly at the stage of mobile computing. This trend shows several aspects consistent in the evolution of computing including the increasing hardware miniaturization of the computing units and an increasing emphasis of the role of communication between the computing units – “networking”. In addition fr作者: Obstruction 時間: 2025-3-22 13:33 作者: ALOFT 時間: 2025-3-22 17:44
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomicshe task is relevant for several application domains. This paper presents an empirical study of decision tree approaches to HMC in the area of functional genomics. We compare learning a single HMC tree (which makes predictions for all classes together) to learning a set of regular classification tree作者: 的染料 時間: 2025-3-23 00:48
Clustering Scientific Literature Using Sparse Citation Graph Analysisvised learning tasks. However, the ability to identify distinct clusters of documents based on link graph analysis is proportional to the density of the graph and depends on the availability of the linking and/or linked documents in the collection. In this paper, we present an information theoretic 作者: CLAM 時間: 2025-3-23 02:38
VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequencesata modeling. VOGUE relies on a novel Variable-Gap Sequence mining method (VGS), to mine frequent patterns with different lengths and gaps between elements. It then uses these mined sequences to build the state machine. We applied VOGUE to the task of protein sequence classification on real data fro作者: 寬大 時間: 2025-3-23 07:34 作者: 吞噬 時間: 2025-3-23 10:39 作者: GULF 時間: 2025-3-23 17:51 作者: Arthr- 時間: 2025-3-23 21:43
Learning Parameters in Entity Relationship Graphs from Ranking Preferences works for). In addition, nodes contain text snippets. Extending from vector-space information retrieval, we wish to automatically learn ranking function for searching such typed graphs. User input is in the form of a partial preference order between pairs of nodes, associated with a query. We prese作者: 偽造者 時間: 2025-3-24 00:29
Detecting Fraudulent Personalities in Networks of Online Auctioneersvolent auction users try to abuse them by cheating others. In this paper we propose a novel method, . (.), to model the techniques that fraudsters typically use to carry out fraudulent activities, and to detect fraudsters preemptively. Our key contributions are: (a) we mine . (e.g., number of transa作者: Heart-Rate 時間: 2025-3-24 03:23
Measuring Constraint-Set Utility for Partitional Clustering Algorithms constraints to clustering improves performance, with respect to the true data labels. However, in most of these experiments, results are averaged over different randomly chosen constraint sets, thereby masking interesting properties of individual sets. We demonstrate that constraint sets vary signi作者: 中止 時間: 2025-3-24 06:46 作者: Genome 時間: 2025-3-24 12:45 作者: 不理會 時間: 2025-3-24 16:09 作者: 起來了 時間: 2025-3-24 22:02 作者: CLASH 時間: 2025-3-25 00:37
e data. The task of inverse optimal control is to identify the precise underlying objective function that is optimized in an observed motion. The presented methods can cope with partial and imprecise measurements of the state variables which is typically the case for motion capture recordings. We in作者: Anemia 時間: 2025-3-25 06:08
Charu C. Aggarwalructure of complex body movements in humans helps to develop flexible technical algorithms for movement synthesis. This chapter summarizes work that uses learned structured representations for the synthesis of complex human-like body movements in real-time. This work follows two different general ap作者: CROW 時間: 2025-3-25 11:16 作者: observatory 時間: 2025-3-25 12:48
Henry Tirrias. These include: the Neumann oscillator, the cubically nonlinear Schr?dinger systems and the sine-Gordon equation. Each system has an associated invariant spectral curve and may be integrated via the Liouville-Arnold technique. The linearizing map is the Abel map to the associated Jacobi variety, 作者: 跟隨 時間: 2025-3-25 17:51 作者: 使人煩燥 時間: 2025-3-25 21:44
Hendrik Blockeel,Leander Schietgat,Jan Struyf,Sa?o D?eroski,Amanda Clareas. These include: the Neumann oscillator, the cubically nonlinear Schr?dinger systems and the sine-Gordon equation. Each system has an associated invariant spectral curve and may be integrated via the Liouville-Arnold technique. The linearizing map is the Abel map to the associated Jacobi variety, 作者: 釋放 時間: 2025-3-26 04:00
Levent Bolelli,Seyda Ertekin,C. Lee Gilesas. These include: the Neumann oscillator, the cubically nonlinear Schr?dinger systems and the sine-Gordon equation. Each system has an associated invariant spectral curve and may be integrated via the Liouville-Arnold technique. The linearizing map is the Abel map to the associated Jacobi variety, 作者: opinionated 時間: 2025-3-26 06:09 作者: Phenothiazines 時間: 2025-3-26 08:44
Bj?rn Bringmann,Albrecht Zimmermann,Luc De Raedt,Siegfried Nijssenpers presented at the meetings were representative of the many mathematical subjects he has worked on, with an emphasis on group prepresentations and cohomology.?The first workshop was titled "Groups, Representations, and Cohomology" and held from June 22 to June 27, 2015 at?Sabhal Mòr Ostaig?on the作者: indignant 時間: 2025-3-26 16:32
Gladys Castillo,Jo?o Gamaerface between geometry, topology and quantum field theory. The first lecture is by Christine Lescop on knot invariants and configuration spaces, in which a universal finite-type invariant for knots is constructed as a series of integrals over configuration spaces. This is followed by the contributi作者: GRATE 時間: 2025-3-26 19:45
0302-9743 ). The successful model of a hierarchical reviewing process that was introduced last year for the ECML/PKDD 2005 in Porto has been taken over in 2006. We nomina978-3-540-45374-1978-3-540-46048-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Soliloquy 時間: 2025-3-26 22:19
Duen Horng Chau,Shashank Pandit,Christos Faloutsos作者: ciliary-body 時間: 2025-3-27 05:07
Christoph F. Eick,Banafsheh Vaezian,Dan Jiang,Jing Wang作者: 夾克怕包裹 時間: 2025-3-27 06:48
The Future of CiteSeer: CiteSeer, as the Google Scholar and DBLP? What role should CiteSeer play in the open access movement? We discuss this and the Next Generation CiteSeer project, CiteSeerx, which will emphasize CiteSeer as a research tool, research web service, and researcher facilitator and testbed. In contrast to the current作者: Statins 時間: 2025-3-27 11:11
Challenges of Urban Sensingt of Things. Research on wireless sensor networks has been taking place at several levels, from the lowest physical level to the highest information level – the latter is much less developed than the research at the physical levels. In addition, much of the research in wireless sensor networks has b作者: 繼而發(fā)生 時間: 2025-3-27 14:48 作者: 無能性 時間: 2025-3-27 19:40
Adaptive Active Classification of Cell Assay Imagesive learning, the learner tries to query the most informative examples in the learning process and therefore keeps the costs for supervision at a low level. We compare our approach to Learning Vector Quantization with random selection and Support Vector Machines with Active Learning on several datas作者: 得意牛 時間: 2025-3-27 22:59
Conference proceedings 2006 Conference on Machine Learning (ECML) and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). The successful model of a hierarchical reviewing process that was introduced last year for the ECML/PKDD 2005 in Porto has been taken over in 2006. We nomina作者: 利用 時間: 2025-3-28 03:31 作者: Dysarthria 時間: 2025-3-28 09:00
Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoul作者: 石墨 時間: 2025-3-28 10:50 作者: 調(diào)整 時間: 2025-3-28 15:35 作者: maroon 時間: 2025-3-28 18:49 作者: Visual-Field 時間: 2025-3-29 01:09 作者: 鳴叫 時間: 2025-3-29 03:35 作者: Pert敏捷 時間: 2025-3-29 08:17 作者: Manifest 時間: 2025-3-29 12:06 作者: NOVA 時間: 2025-3-29 17:43
Bouchra Bouqata,Christopher D. Carothers,Boleslaw K. Szymanski,Mohammed J. Zaki; the isospectral property follows from the Adler-Kostant-Symes theorem. The structure of the generic spectral curves arising through the moment map construction is examined. . coordinates are introduced on rational coadjoint orbits in ., and these are shown to generalize the hyperellipsoidal coordi作者: 喃喃訴苦 時間: 2025-3-29 23:45
Bj?rn Bringmann,Albrecht Zimmermann,Luc De Raedt,Siegfried Nijssenc and topological aspects of the representation theory of finite groups. The mission of the annually sponsored Summer Schools is to train and draw new students, and help Ph.D students transition to independent research.?.978-3-030-06778-6978-3-319-94033-5Series ISSN 2194-1009 Series E-ISSN 2194-1017 作者: insincerity 時間: 2025-3-29 23:54
SD-Map – A Fast Algorithm for Exhaustive Subgroup Discoveryhod for mining association rules with adaptations for the subgroup discovery task. We show how SD-Map can handle missing values, and provide an experimental evaluation of the performance of the algorithm using synthetic data.作者: 彎曲的人 時間: 2025-3-30 07:28 作者: LUMEN 時間: 2025-3-30 10:45 作者: 擴張 時間: 2025-3-30 16:25 作者: extrovert 時間: 2025-3-30 18:34 作者: 幼兒 時間: 2025-3-30 22:06
VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequencesm the PROSITE protein families. We show that VOGUE yields significantly better scores than higher-order Hidden Markov Models. Moreover, we show that VOGUE’s classification sensitivity outperforms that of HMMER, a state-of-the-art method for protein classification.作者: trigger 時間: 2025-3-31 04:51 作者: 虛弱 時間: 2025-3-31 05:19
,-Anonymous Decision Tree Inductionn .-anonymity of the learning examples. Experiments show that embedding anonymization within the decision tree induction process provides better accuracy than anonymizing the data first and inducing the tree later.作者: BOAST 時間: 2025-3-31 11:54 作者: pus840 時間: 2025-3-31 15:46
0302-9743 eiburg, Germany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowled作者: 打擊 時間: 2025-3-31 17:30
Conference proceedings 2006rmany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowledge Discove作者: 無價值 時間: 2025-4-1 00:53
On Temporal Evolution in Data Streamsing algorithms such as clustering and classification. In many cases, mining algorithms may not function as effectively because of the change in the underlying data. We discuss the effects of evolution on mining and synopsis construction algorithms and a number of opportunities which may be available for further research on the topic.作者: 托人看管 時間: 2025-4-1 03:35 作者: 白楊魚 時間: 2025-4-1 06:20
Winning the DARPA Grand Challenge learning and probabilistic modeling for sensor interpretation, and robot motion planning algorithms for vehicle guidance and control. The speaker will explain some of the basic algorithms and share some of the excitement characterizing this historic event. He will also discuss the implications of this work for the future of the transportation.
