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A context-tree weighting algorithm with an incremental context set

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 1996
We propose a variation of the Context Tree Weighting algorithm for tree source modified such that the growth of the context resembles Lempel-Ziv parsing. We analyze this algorithm, give a concise upper bound to the individual redundancy for any tree source, and prove the asymptotic optimality of the data compression rate for any stationary and ergodic ...
Kawabata, T., Willems, F.M.J.
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Algorithms for Context-Awareness Route Generation

2021
This work has as its main goal the investigation and experimentation on automatic generation of routes for tourists and visitors of points of interest, considering the knowledge of the routes, the profile of the visitor and the context awareness of the tour. The context of a trip can be taken through various sources of information, such as the location
Ricardo Pinto   +2 more
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Context Based Universal Service Recommendation Algorithm

2012
Selecting high quality of service to meet user preferences has become a key issue with the increasing number of services. In this paper, we use the context based universal service recommendation(CBUSR) way to solve the problem of high-quality service. Algorithm proposes a new calculation equation related context factors, such as location and price etc.
Zhao Zheng-de, Xu Ning, Zhan Hai-ming
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An Improved Context-Aware Recommender Algorithm

2016
The paper proposes a kind of improved algorithm for context-aware recommender algorithm which is based on matrix factorization. The dot product of items and users is calculated for modeling the factors in paper. And then the average scores of items, different users-baseline and items-baseline on different contexts are added as users-items bias terms ...
Huiyu Miao, Bingqing Luo, Zhixin Sun
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ECG Classification Algorithm Using Shape Context

2018
ECG classification algorithm based on machine learning is often required to obtain a classification model by analyzing and studying a large number of sample data. Whether the distribution of sample data is uniform or whether the coverage of the sample is comprehensive determines the accuracy of the classification model finally obtained.
Xin Liu, Zhiqiang Wei
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Martha Wilson’s Algorithmic Performative in Context

Afterimage, 2023
While working at the Nova Scotia College of Art and Design (NSCAD) as an English instructor in the early 1970s, American artist Martha Wilson enacted a series of critical interventions within the algorithmic protocols of conceptual art. Situated at the confluence of conceptual and protofeminist currents and navigating the interstices of the legendarily
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On the context tree maximizing algorithm

Proceedings of 1995 IEEE International Symposium on Information Theory, 2002
The context tree weighting algorithm was introduced at the 1993 ISIT. Here we are concerned with the context tree maximizing algorithm. We discuss several modifications of this algorithm.
Volf, P.A.J., Willems, F.M.J.
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Constrained Complexity Generalized Context-Tree Algorithms

2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 2007
In this paper, we present a generalization of the context tree weighting algorithm that can address limitations imposed by the tree structure of traditional context-tree algorithms. By allowing a more general graphical structure, we demonstrate how a greatly increased class of models can be compactly represented using a context graph.
Robert J. Drost, Andrew C. Singer
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Location Context Aware Collective Filtering Algorithm

2013
To improve the quality of the recommendation of the recommendation system, a distance-interest affective model is proposed to combine user location context on the preferences of user interests. Based on the model and user-based collaborative filtering algorithm, the location context aware collective filtering algorithm is designed. Firstly, measure the
Wenjun Yue   +3 more
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An efficient context-free parsing algorithm

Communications of the ACM, 1970
A parsing algorithm which seems to be the most efficient general context-free algorithm known is described. It is similar to both Knuth's LR( k ) algorithm and the familiar top-down algorithm. It has a time bound proportional to n 3 (where n is the length ...
openaire   +1 more source

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