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In this paper we discuss an online algorithm based on policy iteration for learning the continuous-time (CT) optimal control… Expand Changepoints are abrupt variations in the generative parameters of a data sequence. Online detection of changepoints is useful in… Expand Online learning is the process of answering a sequence of questions given knowledge of the correct answers to previous questions… Expand This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning… Expand Abstract. During the last 15 years online algorithms have received considerable research interest. In this survey we give an… Expand In this paper we study online classification algorithms for multiclass problems in the mistake bound model. The hypotheses we use… Expand In an online decision problem, one makes a sequence of decisions without knowledge of the future. Tools from learning such as… Expand Skyline queries ask for a set of interesting points from a potentially large set of data points. If we are traveling, for… Expand In recent years, there has been an explosion of interest in mining time-series databases. As with most computer science problems… Expand Competitive analysis of algorithms.- Self-organizing data structures.- Competitive analysis of paging.- Metrical task systems… Expand