Furthermore, the developed framework shows strong potential for use in industry, offering seamless integration with various Python-based solvers 🐍. Requirements Before getting started, make sure you have inst
In section S2.3 of the Supplementary Materials, we explore the potential effects on the inference results of tuning some of the parameters provided by this algorithms implementation. For our validations, the method runs by using multiple steps of optimization which we refer to as rounds. In ...
Velvet : a set of algorithms manipulating de Bruijn graphs for genomic sequence assembly Vincenty's formulae : a fast algorithm to calculate the distance between two latitude/longitude points on an ellipsoid Viterbi algorithm : find the most likely sequence of hidden states in a hidden markov mo...
It is still necessary to propose complementary and differently principled algorithms that will help make LC-MS practitioners extract the best from their data. In this context, new kernels could be defined; and numerous state-of-the-art clustering algorithms recently developed in the machine learning...
In early object detection algorithms, \({\mathcal {L}}_n\)-norm loss [1] is usually used for target bounding box regression. But in recent work, Intersection over Union (IoU) [2, 3] and its improved version are commonly used for bounding box regression. According to the previous ...
The first type offers rather limited choice to the adversary regarding the committed message and this message must consist of at least O(2l/2) blocks, but the overall complexity is only O(2l/2) computations, which matches the proven lower-bound for hash-based MAC algorithms. On the other ...
However, the basis K will now be shown to be iteratively robust in that ρk(K)=Cyc(G) for sufficiently large k, where the superscript on ρ means iterating the operation. Hence, (4)ρ(K)⊊ρ2(K). To prove the iterative robustness of K, recall that a cycle Z in G is geodesic...
The pro- cedural slowness can be compensated by using suitably trained deep learning algorithms. Indeed, recurrent neu- ral networks like "long short term memory" (LSTM) have demonstrated great success in complex tasks such as text analysis, speech recognition, and names generation under very ...
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures
Avoid magic code and fancy algorithms. Avoid big external dependencies. Minimize the number of moving parts in the distributed system. Avoid automated decisions, which may hurt cluster availability, consistency or performance.Adhering KISS principle simplifies the resulting code and architecture, so it ...