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標(biāo)題: Titlebook: Machine Learning: ECML 2004; 15th European Confer Jean-Fran?ois Boulicaut,Floriana Esposito,Dino Ped Conference proceedings 2004 Springer-V [打印本頁]

作者: 詞源法    時間: 2025-3-21 17:33
書目名稱Machine Learning: ECML 2004影響因子(影響力)




書目名稱Machine Learning: ECML 2004影響因子(影響力)學(xué)科排名




書目名稱Machine Learning: ECML 2004網(wǎng)絡(luò)公開度




書目名稱Machine Learning: ECML 2004網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning: ECML 2004被引頻次




書目名稱Machine Learning: ECML 2004被引頻次學(xué)科排名




書目名稱Machine Learning: ECML 2004年度引用




書目名稱Machine Learning: ECML 2004年度引用學(xué)科排名




書目名稱Machine Learning: ECML 2004讀者反饋




書目名稱Machine Learning: ECML 2004讀者反饋學(xué)科排名





作者: 細(xì)節(jié)    時間: 2025-3-21 21:58

作者: conception    時間: 2025-3-22 00:41

作者: 懶鬼才會衰弱    時間: 2025-3-22 05:11
Real-World Learning with Markov Logic Networkslogic statements as soft constraints on the models to be learned. Application to a real-world university domain shows our approach to be accurate, efficient, and less labor-intensive than traditional ones.
作者: 全部    時間: 2025-3-22 12:46

作者: 統(tǒng)治人類    時間: 2025-3-22 14:45

作者: 寬度    時間: 2025-3-22 20:12
Breaking Through the Syntax Barrier: Searching with Entities and Relationsgraph models involving page regions, tables, sentences, phrases, and real-world-entities. New algorithms will combine probabilistic evidence from diverse features to produce responses that are not URLs or pages, but entities and their relationships, or explanations of how multiple entities are related.
作者: 樸素    時間: 2025-3-22 22:03
Applying Support Vector Machines to Imbalanced Datasetsiant of the SMOTE algorithm by Chawla et al, combined with Veropoulos et al’s different error costs algorithm. We compare the performance of our algorithm against these two algorithms, along with undersampling and regular SVM and show that our algorithm outperforms all of them.
作者: Presbyopia    時間: 2025-3-23 01:32
Analyzing Multi-agent Reinforcement Learning Using Evolutionary DynamicsINtelligence (COIN) framework. COIN is a proved engineering approach for learning of cooperative tasks in MASs. We show that the derived link between ED and RL predicts performance of the COIN framework and visualizes the incentives provided in COIN toward cooperative behavior.
作者: 偽證    時間: 2025-3-23 07:07

作者: orthodox    時間: 2025-3-23 18:51
An Analysis of Stopping and Filtering Criteria for Rule Learningr results lead to a better understanding of the effects of stopping and filtering criteria, and hence to a better understanding of rule learning algorithms in general. On the other hand, we uncover a few shortcomings of commonly used heuristics, thereby hopefully motivating additional work in this area.
作者: CEDE    時間: 2025-3-24 01:03

作者: Ancestor    時間: 2025-3-24 06:14
l. All the usual topics, such as complex vector spaces, complex inner products, the Spectral theorem for normal operators, dual spaces, the minimal polynomial, the Jordan canonical form, and the rational canonical form, are covered, along with a chapter on determinants at the end of the book. In add
作者: parallelism    時間: 2025-3-24 07:05
Dimitris Achlioptasncludes an excellent selection of good exercises.Classroom t.This textbook on linear algebra includes the key topics of the subject that most advanced undergraduates need to learn before entering graduate school. All the usual topics, such as complex vector spaces, complex inner products, the Spectr
作者: 假設(shè)    時間: 2025-3-24 14:44

作者: 慷慨援助    時間: 2025-3-24 17:50
Soumen Chakrabartir changes. It might even be called a new book altogether were it not for the fact that the essential character of the book has remained the same; in other words, the entire presentation continues to be based on an axiomatic treatment of linear spaces. In this second edition, the thorough-going restr
作者: Basilar-Artery    時間: 2025-3-24 22:59
Pedro Domingosr changes. It might even be called a new book altogether were it not for the fact that the essential character of the book has remained the same; in other words, the entire presentation continues to be based on an axiomatic treatment of linear spaces. In this second edition, the thorough-going restr
作者: Armory    時間: 2025-3-25 01:34
David J. Handr changes. It might even be called a new book altogether were it not for the fact that the essential character of the book has remained the same; in other words, the entire presentation continues to be based on an axiomatic treatment of linear spaces. In this second edition, the thorough-going restr
作者: prostate-gland    時間: 2025-3-25 06:56
Isabelle Alvarez in applications.Discusses solvability of linear equations a.This book introduces the fundamental concepts, techniques and results of linear algebra that form the basis of analysis, applied mathematics and algebra. Intended as a text for undergraduate students of mathematics, science and engineering
作者: Urgency    時間: 2025-3-25 11:09
Peter Auer,Ronald Ortner in applications.Discusses solvability of linear equations a.This book introduces the fundamental concepts, techniques and results of linear algebra that form the basis of analysis, applied mathematics and algebra. Intended as a text for undergraduate students of mathematics, science and engineering
作者: 有機(jī)體    時間: 2025-3-25 14:41

作者: 解脫    時間: 2025-3-25 17:00

作者: hallow    時間: 2025-3-25 20:52

作者: BANAL    時間: 2025-3-26 03:04

作者: aptitude    時間: 2025-3-26 05:10
Real-World Learning with Markov Logic Networkselp from people. This requires automating the data cleaning and integration process, handling multiple types of objects and relations at once, and easily incorporating domain knowledge. In this talk, I describe how we are pursuing these aims using Markov logic networks, a representation that combine
作者: 載貨清單    時間: 2025-3-26 12:09
Strength in Diversity: The Advance of Data Analysiss. As a consequence of the development of the computer, things have changed dramatically and now there are several such disciplines, including machine learning, pattern recognition, and data mining. This paper looks at some of the similarities and some of the differences between these disciplines, n
作者: 在駕駛    時間: 2025-3-26 13:46
Filtered Reinforcement Learningment has been done in one of two ways: uniformly, or using a discounting model that assigns exponentially more credit to recent actions. This paper demonstrates an alternative approach to temporal credit assignment, taking advantage of exact or approximate prior information about correct credit assi
作者: Synchronism    時間: 2025-3-26 18:19
Applying Support Vector Machines to Imbalanced Datasets limited when it is applied to the problem of learning from imbalanced datasets in which negative instances heavily outnumber the positive instances (e.g. in gene profiling and detecting credit card fraud). This paper discusses the factors behind this failure and explains why the common strategy of
作者: 咒語    時間: 2025-3-26 22:02
Sensitivity Analysis of the Result in Binary Decision Trees we compute the distance of a case from the decision surface. This distance measures the sensitivity of the result to a change in the input data. With a different distance it is also possible to measure the sensitivity of the result to small changes in the tree. The distance from the decision surfac
作者: 衍生    時間: 2025-3-27 03:02

作者: 暫停,間歇    時間: 2025-3-27 08:04
An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochasti Interest Stochastic Games (CISG). CISGs form an interesting class of multi-agent settings where the distributed nature of the systems, rather than adverserial behavior, is the main challenge to efficient learning. In this paper we examine three different approaches to RL in CISGs, embedded in the F
作者: 摻和    時間: 2025-3-27 11:21
Learning from Message Pairs for Automatic Email Answeringave been received and sent in the past. We formulate the problem setting, discuss appropriate performance metrics, develop a solution and describe two baseline methods for comparison. We present a case study based on emails received and answered by the service center of a large online store.
作者: OGLE    時間: 2025-3-27 17:16

作者: Accommodation    時間: 2025-3-27 20:33

作者: 骨    時間: 2025-3-27 22:44
An Analysis of Stopping and Filtering Criteria for Rule Learningvariant of ROC-space, which is particularly suited for visualizing the behavior of rule learning and its heuristics. On the one hand, we think that our results lead to a better understanding of the effects of stopping and filtering criteria, and hence to a better understanding of rule learning algor
作者: exclusice    時間: 2025-3-28 02:34

作者: nepotism    時間: 2025-3-28 09:49
Model Approximation for HEXQ Hierarchical Reinforcement Learning different levels of abstraction. In this paper we extend HEXQ with heuristics that automatically approximate the structure of the task hierarchy. Construction, learning and execution time, as well as storage requirements of a task hierarchy may be significantly reduced and traded off against soluti
作者: 陶瓷    時間: 2025-3-28 11:49
Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services show two extensions to existing approaches. First, we propose to use two separate classifiers for the intrinsic and the relational (extrinsic) attributes and vote their predictions. Second, we introduce a new way of exploiting the relational structure. When the extrinsic attributes alone are not su
作者: 顯示    時間: 2025-3-28 16:33

作者: Myosin    時間: 2025-3-28 19:59

作者: APNEA    時間: 2025-3-28 23:08
ns are used as frequent motivation for the reader.? Another motivating aspect of the book isthe excellent and engaging exercises that abound in this text. .?.This textbook is written for an upper-division undergraduate course on Linear Algebra.? The prerequisites for this book are a familiarity with
作者: CHAR    時間: 2025-3-29 03:49
Rakesh Agrawalrties of a linear space. Those concepts which are only valid for finitely many dimensions are discussed in a special paragraph. Chapter 11 now covers only linear transformations while the treat- ment of matrices has been delegated to a new chapter, chapter 111. The discussion of dual spaces has been
作者: 埋伏    時間: 2025-3-29 10:56
Johannes Fürnkranz,Peter Flachand to Mr. F. Gomez who helped to prepare the subject index. Finally, I have to express my deep gratitude to my colleague J. R. Van- stone who worked closely with me in the preparation of all the revisions and additions and who generously helped with the proof reading.
作者: Dislocation    時間: 2025-3-29 11:31

作者: peak-flow    時間: 2025-3-29 18:39

作者: 不可接觸    時間: 2025-3-29 23:32

作者: 刀鋒    時間: 2025-3-30 03:23
Peter Auer,Ronald Ortner of each section. These exercises aim at reinforcing the learned concepts rather than as exposing readers to the tricks involved in the computation. Problems included at the end of each chapter are relatively a978-981-13-4533-3978-981-13-0926-7
作者: 進(jìn)步    時間: 2025-3-30 06:52
Nicola Fanizzi,Luigi Iannone,Ignazio Palmisano,Giovanni Semeraro
作者: ANT    時間: 2025-3-30 08:24

作者: grenade    時間: 2025-3-30 13:52
Pedro Domingosow covers only linear transformations while the treat- ment of matrices has been delegated to a new chapter, chapter 111. The discussion of dual spaces has been978-3-662-01545-2Series ISSN 0072-7830 Series E-ISSN 2196-9701
作者: muster    時間: 2025-3-30 20:09
David J. Handow covers only linear transformations while the treat- ment of matrices has been delegated to a new chapter, chapter 111. The discussion of dual spaces has been978-3-662-01545-2Series ISSN 0072-7830 Series E-ISSN 2196-9701
作者: 表示向下    時間: 2025-3-30 22:52

作者: 一個姐姐    時間: 2025-3-31 04:49
Jean-Fran?ois Boulicaut,Floriana Esposito,Dino PedIncludes supplementary material:
作者: 條約    時間: 2025-3-31 06:53
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620752.jpg
作者: Palter    時間: 2025-3-31 09:48

作者: conifer    時間: 2025-3-31 16:30
Machine Learning: ECML 2004978-3-540-30115-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Blasphemy    時間: 2025-3-31 19:56

作者: FID    時間: 2025-3-31 22:05
Random Matrices in Data AnalysisWe show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certain kernel methods.
作者: inundate    時間: 2025-4-1 04:16

作者: cataract    時間: 2025-4-1 06:51
Learning from Message Pairs for Automatic Email Answeringave been received and sent in the past. We formulate the problem setting, discuss appropriate performance metrics, develop a solution and describe two baseline methods for comparison. We present a case study based on emails received and answered by the service center of a large online store.
作者: 細(xì)微的差異    時間: 2025-4-1 12:43

作者: 自戀    時間: 2025-4-1 14:59
Model Approximation for HEXQ Hierarchical Reinforcement Learning different levels of abstraction. In this paper we extend HEXQ with heuristics that automatically approximate the structure of the task hierarchy. Construction, learning and execution time, as well as storage requirements of a task hierarchy may be significantly reduced and traded off against solution quality.
作者: cajole    時間: 2025-4-1 21:00

作者: agenda    時間: 2025-4-1 23:41
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作者: A簡潔的    時間: 2025-4-2 06:30
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作者: vanquish    時間: 2025-4-2 09:40
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