Population-based guiding for evolutionary neural architecture search. [PDF]
Dendorfer S, Kist AM.
europepmc +1 more source
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius +6 more
wiley +1 more source
Local equations describe unreasonably efficient stochastic algorithms in random K-SAT. [PDF]
Machado D, González-García J, Mulet R.
europepmc +1 more source
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Real-world evaluat ion of hybrid Green AI for sustainable and efficient smart supply chain distribution. [PDF]
Hassouna MA +3 more
europepmc +1 more source
Online bipartite matching methodology for anti-epidemic resources allocation: an adaptive time window based on reinforcement learning. [PDF]
Wu Z, Pang S, He S.
europepmc +1 more source
Comparative Evaluation of Bandit-Style Heuristic Policies for Moving Target Detection in a Linear Grid Environment. [PDF]
Kang H, Ahn M, Seo Y.
europepmc +1 more source
MEG-RRT*: A Hierarchical Hybrid Path Planning Framework for Warehouse AGVs Using Multi-Objective Evolutionary Guidance. [PDF]
Wu Q, Tang Q, Ma L, Zhao D, Lei J.
europepmc +1 more source
Enhanced Philoponella Prominens Optimization (EESPPO) Algorithm Integrated with Experience Exchange Strategy for Global Optimization and Engineering Design Problems. [PDF]
Yan Z, Yu Y, Cao Y, Gao J.
europepmc +1 more source
Related searches:
Greedy by Chance - Stochastic Greedy Algorithms
2010 Sixth International Conference on Autonomic and Autonomous Systems, 2010For many complex combinatorial optimization problems, obtaining good solutions quickly is of value either by itself or as part of an exact algorithm. Greedy algorithms to obtain such solutions are known for many problems. In this paper we present stochastic greedy algorithms which are perturbed versions of standard greedy algorithms, and report on ...
Viswanathan Kodaganallur, Anup K. Sen
openaire +1 more source

