To our knowledge, this is the first time that suffix-based pattern matching algorithms are analyzed exactly. We present (perhaps surprising) exemplary results on short patterns and moderate text lengths. Our results easily generalize to any search-window based pattern matching algorithm....
A pilot experiment on the TREC collection shows that the linguistically motivated weighting algorithm outperforms the popular BM25 weighting algorithm. 展开 关键词: information retrieval theory statistical information retrieval statistical natural language processing ...
Considering these facts, in this paper, we propose a Probabilistic Topology Control (PTC) algorithm for an underwater cooperating AUV network. In PTC, when the transmission power of an AUV is not equal to the optimal transmission power, then whether the transmission power needs to be adjusted ...
1.1. Detect and Avoid (DAA) Safety Assessment Although adequate performance standards were established for various surveillance equipment, to date the impacts of surveillance system failures in terms of separation degradation, specifically in the UAS platform, have not been defined. Moreover, traditional...
Based on our algorithm, we develop an indoor positioning system on the iOS platform. The experiments carried out in a typical indoor environment have shown promising results for our proposed algorithm and system design. Keywords: indoor positioning; HMM framework; graph structure; multimodal particle ...
Mallat algorithm is commonly used for DWT, where scale functions and wavelet functions are owpheerraetiϕng*(·a) srelopwresaenndtshaigchonpvaosslufitlitoenrso, preesrpaeticotnivuelsyi.nTghweamveulletit-fleuvnecltidoencoamndpox(sti)tiiosnthoef sthaemapllgeodristihgmnails. Mallat algorithm ...
[24], based on a neural network trained by means of the SCEM-UA algorithm [25]. All in all, stochastic models should be preferred to deterministic ones, due to additional information provided about the forecasted demands. However, existing stochastic forecasting models can be very computationally...
In future studies, the authors plan to investigate some improvements for the proposed approach. Possible improvements may include the adaptive algorithm to establish the rule base and select appropriate parameters, higher execution efficiency of the algorithm code, and applications of the proposed ...
Bayesian inference algorithm includes exact algorithm and approximate algorithm. Approximate algorithm is more applied to large-scale network structure to solve the problem of excessive computation. Considering the scale of the network in our research, we apply the exact algorithm-joint tree inference ...