Being familiar with data structures can also help you when choosing algorithms. Knowing you have a structure that will run your code efficiently is the first step, and then you choose an algorithm in a similar way. Click here to learn more about A Common-Sense Guide to Data St...
The quadratic sieve algorithm (QS) is a modern integer factorization algorithm and, in practice, the second fastest method known (after the number field sieve, NFS). It is still the fastest for integers under 110 decimal digits or so, and is considerably simpler than the number field sieve. ...
Besides the community, the hierarchical structure of the network has also attracted attention30. Some previous outcomes have used the hierarchical structure to drive the K-shell decomposition algorithm and its improvements31,32,33,34. Although the K-shell algorithm has promising applications in various...
We explore three questions in this work: (a) Can a small subset of features be selected to train a good structure-property predictive model? (b) Is this subset agnostic to the choice of feature selection algorithm? And (c) can the addition of expert-identified features improve model ...
proposed the SFE algorithm [3] which divides the path search process into two subgraphs and searches for the intermediate entity at the same time, thereby improving the efficiency of path search. In addition, it binarizes the probability matrix to reduce the calculation. However, it still cannot...
This paper presents a new algorithm for human gait recognition based on Spatio-temporal body biometric features using wavelet transforms. The proposed algo... A Sabir,N Al-Jawad,S Jassim,... 被引量: 6发表: 2013年 2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM Gait...
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In this case it might be learnable.06. Training neural networks IAs a revision here are the Mini batch stochastic gradient descent algorithm steps: Loop: Sample a batch of data. Forward prop it through the graph (network) and get loss. Backprop to calculate the gradients. Update the parame...
Monfette G, Lacourciere Y, Boucher H, LachanceR: Important prognostic value of standardized objective criteria of response in stage D2 prostatic carcinoma... F Labrie,A Dupont,M Giguere,... - 《European Journal of Cancer & Clinical Oncology》 被引量: 34发表: 1988年 An Algorithm for Choo...
Probabilistic neural network (PNN) is the well-known instance-based learning algorithm, which is widely used in various pattern classification and regressi... AV Savchenko - Springer International Publishing 被引量: 1发表: 2016年 The sample complexity of pattern classification with... Shows that th...