Titlebook: Machine Learning: ECML 2006; 17th European Confer Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoul Conference proceedings 2006 Springer-V

epicardium

David Grangier,Florent Monay,Samy Bengios Professor of Theoretical Physics at the University of Belgrade and the book is based on lectures he gave there to both undergraduate and postgraduate students over a period of several decades. He also lectured on the applications of linear algebra in particle physics at the University of Adelaide

態(tài)度暖昧

On Temporal Evolution in Data Streamshis results in databases which grow without limit at a rapid rate. This data can often show important changes in trends over time. In such cases, it is useful to understand, visualize, and diagnose the evolution of these trends. In this talk, we discuss a method to diagnose the changes in the underl

sebaceous-gland

The Future of CiteSeer: CiteSeer,the traditional methods of academic and scientific document access and analysis. Computer and information scientists quickly became used to and expected immediate access to their literature and CiteSeer provided a popular partial solution. CiteSeer was based on these features: actively acquiring new

存在主義

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

群島

Winning the DARPA Grand Challengen autonomous robot capable of traversing 132 miles of unrehearsed desert terrain in less than 10 hours. In 2004, the best robot only made 7.3 miles. In 2005, Stanford won the challenge and the $2M prize money by successfully traversing the course in less than 7 hours. This talk, delivered by the lea

哎呦

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

含鐵

畏縮

A Selective Sampling Strategy for Label Rankingict a total order over a predefined set of alternatives. Our approach is theoretically motivated by an extension to ranking and active learning of K??ri?inen’s generalization bounds using unlabeled data [7], initially developed in the context of classification. The bounds we obtain suggest a selecti

stroke

Combinatorial Markov Random Fieldsrandom fields where some of the nodes are combinatorial random variables. We argue that Comrafs are powerful models for unsupervised and semi-supervised learning. We put Comrafs in perspective by showing their relationship with several existing models. Since it can be problematic to apply existing i

彈藥

Learning Stochastic Tree Edit Distance conversion of tree structured documents. In this context, many applications require the calculation of similarities between tree pairs. The most studied distance is likely the tree edit distance (ED) for which improvements in terms of complexity have been achieved during the last decade. However, t