نتایج جستجو برای: co prox

تعداد نتایج: 333412  

Journal: :Transactions of the American Mathematical Society 1996

Journal: :Journal of health sciences and medicine 2021

Amaç: Lenfödem (LE), aksiller lenf nodu diseksiyonu ve radyoterapi ile tedavi edilen meme kanserli olgularda yaygın gelişen iyatrojenik bir komplikasyondur. Bu çalışmada lenfödemli hastalarda kanseri tedavisi sonrası, lenfatik sistem endotelinden salınan, homeobox transkripsiyon faktörü (Prox-1), damar endotel reseptörü-1 (LVYE-1) podoplanin (PDPN) belirteçlerinin serum düzeylerini araştırmayı ...

2014
Atsushi Nitanda

Proximal gradient descent (PGD) and stochastic proximal gradient descent (SPGD) are popular methods for solving regularized risk minimization problems in machine learning and statistics. In this paper, we propose and analyze an accelerated variant of these methods in the mini-batch setting. This method incorporates two acceleration techniques: one is Nesterov’s acceleration method, and the othe...

Journal: :Int. J. Intell. Syst. 2008
Bruno Gaume

Prox is a stochastic method to map the local and global structures of real-world complex networks which are called Small Worlds. Prox transforms a graph into a Markov chain, the states of which are the nodes of the graph in question. Particles wander from one node to another within the graph by following the graph‟s edges. It is the dynamics of the particles‟ trajectories that map the structura...

2016
Blake E. Woodworth Nathan Srebro

We provide tight upper and lower bounds on the complexity of minimizing the average of m convex functions using gradient and prox oracles of the component functions. We show a significant gap between the complexity of deterministic vs randomized optimization. For smooth functions, we show that accelerated gradient descent (AGD) and an accelerated variant of SVRG are optimal in the deterministic...

Journal: :SIAM Journal on Optimization 2013
Michel Baes Michael Bürgisser Arkadi Nemirovski

In this paper, we derive a randomized version of the Mirror-Prox method for solving some structured matrix saddle-point problems, such as the maximal eigenvalue minimization problem. Deterministic first-order schemes, such as Nesterov’s Smoothing Techniques or standard Mirror-Prox methods, require the exact computation of a matrix exponential at every iteration, limiting the size of the problem...

2009
J. M. Woods M. Puri

One key factor in stabilization of protein drugs in liquid formulations is the choice of appropriate excipients at optimum concentrations that provide extended shelf life while also ensuring highest safety to the patient. Although general principles of stabilization have emerged from the literature over the past decade, the mechanisms by which excipients can improve the stability of a protein d...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید