machine learning and statistical techniques

... pm ,C pk and C pmk (see Balamurali and daram (2002) and Bissel (1989)) Kalyanasun-If there is no possibility to make an assumption about the distribution of thedata, computer based, statistical ... Construction and ation for the developer, whereas the second one – relevant for the user – includes the Evalu-phases Project Aim Definition, Search and Selection of existing and suitable ence models and ... analyze is im-to be randomly divided inim-to two disjoint sets: training and test set Aset of possible optimal sub-process is generated, by applying the describe algorithmand the referenced Bootstrap-methods

Ngày tải lên: 05/08/2014, 21:21

... categories. [...]... Understanding the Methodology and Assessing Reliability and Validity In: A Gustafsson, A Herrmann and F Huber (Eds.): Conjoint Measurement: Methods and Applications, Springer, ... department and are conform with national and supranational dataprotection guidelines (Steckler and Pepels (20 06)) 2. 1 Customer lifetime value On the one hand, the CLV is a target and controlling ... the standard 448 Martin Meißner, Sören W. Scholz and Reinhold Decker in preference measurement for products with more than six attributes (Hauser and Toubia (2002), Herrmann et al. (2005)) and

Ngày tải lên: 05/08/2014, 21:21

... association support all-confidence 2 {brandy, fruit brandy} 0.015 0.18 3 {fruit brandy, appetizers} 0.018 0.17 4 {brandy, appetizers} 0.016 0.15 5 {whisky, fruit brandy} 0.011 0.14 To examine whether ... (1980): Attention and Weight in Person Perception - the Impact of Negative and Extreme Behaviour Journal of Personality and Social Psychology, 38 (6), 889-906 FORGAS, J P (1995): Mood and Judgment: ... SINGH, J and SIRDESHMUKH, D (2000): Agency and Trust Mechanisms in Consumer satisfaction and loyalty judgments Journal of the Academy of the Marketing Science, 28 (1), 150-167 STAUSS, B and HENTSCHEL,

Ngày tải lên: 05/08/2014, 21:21

... introduced by Mittal and Kamakura (2001), which enables us to use Theorem satisfaction-2 of Follmann and Lambert (1991) Following Paulssen and Birk (satisfaction-2006) only graphic and by brand moderated ... E4sat i ∗ brand i+ E5sat i ∗ cons i ∗ brand i+ E6sat i ∗ age i ∗ brand i+ Hi The satisfaction-retention link for a latent class g can then be written as4: 4Here age stands for the standardized ... ofthe replaced van (standardized), Ownership (self-employed 0, company 1), Brand ofreplaced van (other brands 0, specific "brand 1" 1), Consideration Set of other brandsthan the owned one

Ngày tải lên: 05/08/2014, 21:21

... B and KINI, O (1995): Venture capitalist participation and the post-issue operating performance of IPO firms.Managerial and Decision Economics, 16, pp 593-606. LEE, P and WAHAL, S (2004): Grandstanding, ... (E1Ybydeal= −0.17) and the Trang 7512 Francesco Gangi and Rosaria Lombardofirm size (ESME= −0.17) are useful variables to capture the influence of a too early quotation, similarly to the grandstanding approach ... lot of implications for further research and developments ofthis work An international comparison with other financial systems and a furthersupply and demand analysis ought to be carried out Acknowledgments

Ngày tải lên: 05/08/2014, 21:21

... Consumer’s Behaviour: An Trang 2Collaborative Tag RecommendationsLeandro Balby Marinho and Lars Schmidt-Thieme Information Systems and Machine Learning Lab (ISMLL) Samelsonplatz 1, University of Hildesheim, ... U are two users and prof u and prof vare their profile vectors Trang 5536 Leandro Balby Marinho and Lars Schmidt-ThiemeLet B ⊆ I be the basket of items of the active user u ⊆ U and N uhis/her ... 549GEYER-SCHULZ, A and HAHSLER, M and NEUMANN, A and THEDE, A (2003a):Behavior-Based Recommender Systems as Value-Added Services for Scientific Li-braries In: H Bozdogan: Statistical Data Mining

Ngày tải lên: 05/08/2014, 21:21

... Schacht 2 , Andreas Merkel 2 1 Dortmund University, Germany irene.cramer@uni-dortmund.de 2 Saarland University, Germany {stefan.schacht, andreas.merkel}@lsv.uni-saarland.de Abstract. Number and date ... classification and present promising, initial results of a classification experiment using various Machine Learning algorithms (amongst others AdaBoost and Maximum Entropy) to extract and classify ... German CoNLL 2003 data and trained various machine learning algorithms to automatically extract and classify number expressions. We also plan to incorporate the number extraction and classification

Ngày tải lên: 05/08/2014, 21:21

... precision and retrieval recall. A reliable approach to identify two documents d and d q as near-duplicates is to represent them under the vector space model, referred to as d and d q , and to measure ... SCHONBERG, E and GOMORY, S (2000): Analysis and Visualization of Metrics for Online Merchandising In: Lecture Notes in Computere Science, 1 836 /2000, 126– 141 Springer, Berlin LENZ, H.-J and ... Dubois, R Kruse, and H.-J Lenz (eds.): Decision Theory and Multi-Agent Planning Springer, Vienna SPILIOPOULOU, M and FAULSTICH... 746 for portal 1, 2168 for portal 2, and 46 92 for portal

Ngày tải lên: 05/08/2014, 21:21

... texts In the machine learningliterature, this learning scheme has been called semi-supervised learning (Sarkar andHaffari, 2006) The underlying idea behind our approach is that syntactic and seman-tic ... either tf or tf-idf weighting and the expert rating into the basic classes, using both the Rand index (Rand) and the Rand index corrected foragreement by chance (cRand) Row “Average” shows the ... and missed (false negatives) in-stances per class and report the standard measures Precision, Recall and F1-measure sub-as described in Rijsbergen (1979) The 5 sub-experiments were combined andchecked

Ngày tải lên: 05/08/2014, 21:21

... Finally, the random baseline is calculated by preserving the original categorysizes and by mapping articles randomly to them Results of random clusteringhelp to check the success of both learning ... applied to supervised and vised learning and compared with the random clustering baseline are presented Inorder to exclude a dependence of the structural approach on one of the learning me- unsuper-thods, ... the parameters b and c. Trang 6644 Reinhard Köhler and Sven NaumannFig 6 Relationship between the values of b and c in the corpus 6 Conclusion Our study has shown that L-, F- and T-Segments on

Ngày tải lên: 05/08/2014, 21:21

... A.L and SU, F.E (2002): On choosing and bounding probability metrics, Interna- tional Statistical Review, 70, 419. GURU, D S and KIRANAGI, B B (2005): Multivalued type dissimilarity measure and ... approach to statistical analysis Computational statistics and data analysis, 51, 1-14. BOCK, H.H and DIDAY, E., (2000): Analysis of Symbolic Data, Exploratory Methods for Extracting Statistical ... 99–110. TRAN, L and DUCKSTEIN, L (2002): Comparison of fuzzy numbers using a fuzzy distance measure, Fuzzy Sets and Systems, 130, 331–341. VERDE, R and LAURO, N (2000): Basic choices and algorithms

Ngày tải lên: 05/08/2014, 21:21

... models, and how they are used in the core of the landmark learning and recognition system, is described It is followed by introducing how to learn new landmark’s parameters; after that, the landmark ... illumination, distances and view angles to the landmarks Machine learning techniques are being applied with remarkable success to several problems of computer vision and perception [45] Most ... for big public and industrial buildings (factories, stores), and outdoor environments with well-defined landmarks such as streets and roads Fabrication of space-variant sensor and implementation...

Ngày tải lên: 28/03/2014, 14:20

... (Eds.) Data Analysis, Machine Learning and Applications 2008 Christine Preisach · Hans Burkhardt Lars Schmidt-Thieme · Reinhold Decker (Editors) Data Analysis, Machine Learning and Applications Proceedings ... methods and applications of data analysis and machine learning were considered The following sessions were established: I Theory and Methods Supervised Classification, Discrimination, and Pattern ... Representation and Knowledge Discovery (A Ultsch); Statistical Relational Learning (H Blockeel and K Kersting); Online Algorithms and Data Streams (C Sohler); Analysis of Time Series, Longitudinal and Panel...

Ngày tải lên: 05/08/2014, 21:21

... B and BURKHARDT, H (2007): Invariant kernels for pattern analysis and machine learning Machine Learning, 68, 35–61 SCHÖLKOPF, B and SMOLA, A J (2002): Learning with Kernels: Support Vector Machines, ... recognition and machine learning communities due to the modularity of the algorithms and the data representations by kernel functions, cf (Schölkopf and Smola (2002)) and (Shawe-Taylor and Cristianini ... Distributions 1, Models and Applications, 2nd edition John Wiley & Sons, New York NEWMAN, D.J and HETTICH, S and BLAKE, C.L and MERZ, C.J (1998): UCI Repository of machine learning databases [http://www.ics.uci.edu/∼learn/...

Ngày tải lên: 05/08/2014, 21:21

... latest machine learning methods to be introduced is the Support Vector Machine (SVM) It has become very widespread due to its firm grounds in statistical learning theory (Vapnik (1998)) and its ... compute the gradients C L and L of the loss function LC, (x, y) of a single randomly chosen element (x, y) of the L with small learning training set and replace C by C − C C L and by − rates C > 10 ... into training and test sets and normalized to minimum and maximum feature values (Min-Max) or standard deviation (Std-Dev) These experiments were run on a computer with a P4, 2.8 GHz and 1G in Ram...

Ngày tải lên: 05/08/2014, 21:21

... Multiple Statistical Classifiers 27 HANSEN, L.K and SALAMON, P (1990): Neural network ensembles IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 993–1001 HUANG, Y.S and SUEN, ... Machine Learning: Proceedings of the Thirteenth International Conference, Morgan Kaufmann, 275- 283 KUNCHEVA, L and WHITAKER, C (2003): Measures of diversity in classifier ensembles, Machine Learning, ... experts for the recognition of unconstrained handwritten numerals, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17, 90-93 KOHAVI, R and WOLPERT, D.H (1996): Bias plus variance...

Ngày tải lên: 05/08/2014, 21:21

... elements and row all ˜ column sums all one, and the {Ck } and {Cl } denote the classes of the first and second ˜ respectively The LSAP can be solved efficiently in polynomial partition P and P, time ... S., MOONEY, R.J (2004): Integrating Constraints and Metric Learning in Semi-Supervised Clustering In: Proc 21st International Conference on Machine Learning (ICML 2004) Banff, Canada, 81-88 KOHONEN, ... give bounds for bh and the number vh of hidden vertices, and refer to Bradley (2006) for the combinatorial proofs (Theorems 8.3 and 8.5) Theorem 6.1 Let D ∈ Dn Then vh ≤ n + − bh and bh ≤ n−4 ,...

Ngày tải lên: 05/08/2014, 21:21

... Hard and Soft Euclidean Consensus Partitions grandfather grandmother granddaughter grandson brother sister father mother daughter son nephew ... results and open problems In: H H Bock, editor, Classification and related methods of data analysis North-Holland, Amsterdam, 309–316 BOORMAN, S A and ARABIE, P (1972): Structural measures and the ... Stochastic Models and Data Analysis, 4, 273–282 154 Kurt Hornik and Walter Böhm GORDON, A D and VICHI, M (1998): Partitions of partitions Journal of Classification, 15, 265–285 GORDON, A D and VICHI,...

Ngày tải lên: 05/08/2014, 21:21

... to thank Robert Moyzis and James Swanson (both UC Irvine) for making available the genotype and phenotype data respectively and the German Academic Exchange Service (DAAD) and Martin Vingron for ... Stalactite plots and robust estimation for the detection of multivariate outliers In: E Ronchetti, E Morgenthaler, and W Stahel (Eds.): New Directions in Statistical Data Analysis and Robustenss., ... Royal Statistical Society B, 56, 363–375 118 Marco Di Zio and Ugo Guarnera DI ZIO, M., GUARNERA, U and LUZI, O (2007): Imputation through finite Gaussian mixture models Computational Statistics and...

Ngày tải lên: 05/08/2014, 21:21

... among the set of rows, of columns and the relations between both sets Also cite the non symmetrical analysis (D’ Ambra and Lauro (1984) and Lauro and D’ Ambra (1989)) and more recently the Multiple ... BANFIELD, J D and RAFTERY, A E (1993): Model-Based Gaussian and Non-Gaussian Clustering Biometrics, 49, 803–821 138 Christian Hennig and Pietro Coretto CAMPBELL, N A (1984): Mixture models and atypical ... regression models After presenting data and objectives (section 2) we outline methodology and results (section 3) and finally give some conclusions (section 4) Data and objectives The University of the...

Ngày tải lên: 05/08/2014, 21:21