stochastic gradient-based algorithm
Blind chip-rate equalisation for DS-CDMA downlink receiver
... The adaptation algorithm is based on a constant modulus criterion forcing the various user symbols onto a constant modulus, for which a stochastic gradient descent algorithm is derived..[r] ...
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Optimizing machine learning on Apache Spark in HPC environments
... In this work we adapt the application of Apache Spark, a distributed data-flow framework, to support the use of machine learning in HPC environments for the purposes of machine learning. There are inherent challenges to ...
12
Parameter Identification of Nonlinear Systems with Time delay Based on the Multi innovation Stochastic Gradient Algorithm
... Parameter identification means estimating the parameters of partially unknown systems based on noisy observations, which is the foundation of many issues such as signal processing, sy- stem identification and ...
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Recursive Identification of Hammerstein Systems with Polynomial Function Approximation
... is based on a piecewise-linear Hammerstein model, which is linear in the ...extended stochastic gradient algorithm to identify some unknown ...estimates based on the obtained parameter ...
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Adaptive Minimum Symbol Error Rate CDMA Linear Multiuser Detector for Pulse Amplitude Modulation
... scheme. Based on a kernel density es- timation for approximating the symbol error rate (SER) from training data, a least mean squares (LMS) style stochastic gradient algorithm called the least ...
5
Development of Smart Number Writing Robotic Arm using Stochastic Gradient Decent Algorithm
... numbers based on the predicted digit, serial control must be chosen as the GUI program will send the predefined algorithm for corresponding digit to the ...
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A Multiclass Sentiment Classification using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)
... are based on OvsO or OvsR which can be done with SGD that are trained over multiple computers [GBW14, ...is based on a subset of the ...to stochastic gradients with automatic step-size adaptation ...
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Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
... reduction based algorithm, Async-ProxSCVR, for the composition optimization prob- lem (1) with nonsmooth regularization ...the algorithm for both strongly convex and general nonconvex ...asynchronous ...
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Blind Chip Rate Multiuser Equalisation
... adaptation algorithm can be based either on a con- stant modulus (CMA) criterion of the various users, or on a decision directed (DD) ...a stochastic gradient descent algorithm will ...
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Multi-class Image Classification Based on Fast Stochastic Gradient Boosting
... classification based on fast stochastic gradient ...fast stochastic gradient ...trees, stochastic gradient boosting and its fast ...(1) stochastic gradient ...
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Adaptive linear filtering design with minimum symbol error probability criterion
... technique based on the novel MSER principle has been proposed for applica- tions to communication systems with complex-valued filters and M -QAM ...developed based on the Parzen window estimation for the ...
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Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
... the algorithm convergence is affected by the model synchronization frequency along with the variation of the ...the algorithm and by these results, we can verify the parallel model we developed is ...
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Time varying Forgetting Factor Stochastic Gradient Algorithm for Nonlinear Systems with Color Noise
... stochastic gradient(FF-SG) algorithm was proposed[18–20]. The FF-SG algorithm introduces a forgetting factor into SG so that the convergence rate will be ...convergence. Based on this ...
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Large Scale Stochastic Sampling from the Probability Simplex
... Stochastic gradient Markov chain Monte Carlo (SGMCMC) has become a popular method for scalable Bayesian ...are based on sampling a discrete-time approximation to a continuous time process, such as ...
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Automatic Algorithm for River Gradient Based on Directed Topology
... the iterative characteristics of the river. However, their method determines the main stem based on length recognition or manual design. Ai[2] studies the planar structure of river networks and its automatic ...
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Comparison of Digital Image Inpainting Techniques Based on SSIM
... proposed algorithm based on ...based algorithm. In [3] H.Noori , Saeid Saryazdi have prposed a algorithm based on directional median ...geometry based and exemplar ...
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IMAGE SEGMENTATION USING WATERSHED TRANSFORMATION
... Abstract: In this paper, we present a new approach for object boundary Extraction called GVF on watershed. It is more robust to local minima because it finds the solution by searching the entire energy space. To reduce ...
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Robustness Analysis of a Gradient Based Repetitive Control Algorithm
... Control algorithm. Due to the non-causal nature of the algorithm, the algorithm can be applied only to systems that have a finite- impulse response ...the algorithm results in monotonic ...
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DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
... of stochastic averaging gradient suggested in SAGA to reduce the com- putational cost of ...SAGA algorithm and it can be relaxed by using SVRG (Johnson and Zhang (2013)) instead of SAGA for ...
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Multi Valued Neuron with Sigmoid Activation Function for Pattern Classification
... learning algorithm of MVN is reduced to the movement along the unit circle on the complex ...are based on error-correcting learning rule and are ...networks based on ...
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