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	Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Learning (I.2.6) > Parameter Learning (I.2.6...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 24 Reviews about "Parameter Learning (I.2.6...)": Date Reviewed   Multi-parametric solution-path algorithm for instance-weighted support vector machines Karasuyama M., Harada N., Sugiyama M., Takeuchi I.  Machine Learning 88(3): 297-330, 2012. Type: Article In a weighted support vector machine (WSVM), each training instance has its own weight. So, for example, in nonstationary data analysis, earlier instances may have less weight than later ones, or in heteroscedastic data modeling, larger weights... Nov 15 2012   Spatiotemporal models for data-anomaly detection in dynamic environmental monitoring campaigns Dereszynski E., Dietterich T.  ACM Transactions on Sensor Networks 8(1): 1-36, 2011. Type: Article Portable sensor stations allow for the transport of equipment to sites of interest and make it possible to observe ecological phenomena at any desired spatial granularity. In addition, these networks operate at fine time resolution, thus... Jan 11 2012    Probabilistic graphical models: principles and techniques Koller D., Friedman N.,  The MIT Press, Cambridge, MA, 2009. 1208 pp. Type: Book (978-0-262013-19-2) Efforts over the past 60 years to use computers to implement human-like reasoning have favored the interpretation of probabilities as reflecting degrees of belief, fueling the rapid growth of Bayesian formalisms. While theoretically attractive,... Oct 6 2010   Multivariate multi-model approach for globally multimodal problems Chuang C., Hsu W.  GECCO 2010 (Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, Portland, OR,  Jul 7-11, 2010) 311-318, 2010. Type: Proceedings The problem addressed in this paper is that of estimating the global optimum in multimodal problems where several optima may be present. Typically, classical heuristic approaches, such as greedy algorithms and genetic algorithms, tend to get... Sep 28 2010   Statistical machine translation Lopez A.  ACM Computing Surveys 40(3): 1-49, 2008. Type: Article Through this self-contained literature survey, Lopez characterizes the core ideas of statistical machine translation (SMT) and provides a taxonomy of various approaches.... Feb 19 2009   Web-based information content and its application to concept-based video retrieval Haubold A., Natsev A.  Content-based image and video retrieval (Proceedings of the 2008 International Conference on Content-based Image and Video Retrieval, Niagara Falls, Canada,  Jul 7-9, 2008) 437-446, 2008. Type: Proceedings A concept-based index for a collection of videos can be constructed using a set of statistical detectors for a fixed set of semantic concepts. The resulting index uses only the limited number of concepts based on the original set of semantic... Sep 18 2008   Geometric properties for incomplete data (Computational Imaging and Vision Series) Klette R., Kozera R., Noakes L., Weickert J.,  Springer-Verlag New York, Inc., Secaucus, NJ, 2005. 412 pp. Type: Book (9781402038570) Geometric properties for incomplete data collects research papers on cutting-edge technological issues in computer and robotic vision. The editors are academics from Australia, Germany, and New Zealand, and the contributors hail from a... Apr 17 2007   An adjustment model in a geometric constraint solving problem Pavón R., Díaz F., Luzón M.  Applied computing (Proceedings of the 2006 ACM Symposium on Applied Computing, Dijon, France,  Apr 23-27, 2006) 968-973, 2006. Type: Proceedings A common problem in computer-aided design (CAD) is that of constraint-based geometric design. Typically, one wishes to place a number of points in space subject to a given set of constraints, where the number of constraints is sufficient to... Aug 31 2006   A unified view on clustering binary data Li T.  Machine Learning 62(3): 199-215, 2006. Type: Article There are many instances when people want to classify data. In some cases, the data relationship is represented in a binary fashion (yes/no, 0/1); for example, document clustering, market basket data (purchased items shown as bits set to 1),... Jul 21 2006   Parallel metaheuristics: a new class of algorithms Alba E.,  Wiley-Interscience, New York, NY, 2005. 576 pp. Type: Book (9780471678069) The goal of this book is to combine novel aspects in the research fields of metaheuristics and parallelism. Metaheuristics are approximation methods for optimization problems that try to combine basic heuristic methods such that a search space is ... Mar 13 2006       Display 510152550100 per page
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