Sequential event prediction
نویسندگان
چکیده
منابع مشابه
Sequential Event Prediction with Association Rules
We consider a supervised learning problem in which data are revealed sequentially and the goal is to determine what will next be revealed. In the context of this problem, algorithms based on association rules have a distinct advantage over classical statistical and machine learning methods; however, there has not previously been a theoretical foundation established for using association rules i...
متن کاملLearning theory analysis for association rules and sequential event prediction
We present a theoretical analysis for prediction algorithms based on association rules. As part of this analysis, we introduce a problem for which rules are particularly natural, called “sequential event prediction.” In sequential event prediction, events in a sequence are revealed one by one, and the goal is to determine which event will next be revealed. The training set is a collection of pa...
متن کاملWorking Paper MASSACHUSETTS INSTITUTE OF TECHNOLOGY by Sequential Event Prediction
In sequential event prediction, we are given a “sequence database” of past event sequences to learn from, and we aim to predict the next event within a current event sequence. We focus on applications where the set of the past events has predictive power and not the specific order of those past events. Such applications arise in recommender systems, equipment maintenance, medical informatics, a...
متن کاملSequential Max-Margin Event Detectors
Many applications in computer vision (e.g., games, human computer interaction) require a reliable and early detector of visual events. Existing event detection methods rely on one-versus-all or multi-class classifiers that do not scale well to online detection of large number of events. This paper proposes Sequential Max-Margin Event Detectors (SMMED) to efficiently detect an event in the prese...
متن کاملSequential Effects in Prediction
We studied a simple binary prediction task and discovered that, when making predictions, humans display sequential effects similar to those in reaction time. Moreover, we found that there are considerable individual differences in sequential effects in prediction, again similarly to reaction time studies. We discuss our results in light of the view that sequential effects are the trace of an at...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2013
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-013-5356-5