HyperLoglog (HLL) is an approximation algorithm for efficiently counting the number of distinct values in a data set. It features faster computing and lower space usage.
Incrementally learning new information from a non-stationary stream of data, referred to as ‘continual learning’, is a key feature of natural intelligence, but a challenging problem for deep neural networks. In recent years, numerous deep learning meth
Approximation algorithmsWe study the virtual machine allocation (VMA) problem with physical machines (PMs) of identical configuration and virtual machines (VMs) of a constant number of types. Only CPU and memory (MEM) resources are considered, so it is a special two-dimensional vector bin packing...
Endotypes are characterized by the immunological, inflammatory, metabolic, and remodelling pathways that explain the mechanisms underlying the clinical presentation (phenotype) of a disease. Recessive dystrophic epidermolysis bullosa (RDEB) is a severe b
Convolutional neural networks, recurrent neural networks, and deep neural networks are examples of algorithms used in machine learning. They, however, have some unique differences that make them ideal for different applications. So, how are these types of algorithms different from each other?
You cannot directly query for documents on a randomly encrypted field. However, you can use another field to find the document that contains an approximation of the randomly encrypted field data. For example, consider the following document where thessnfield is randomly encrypted: ...
Computer Science - Data Structures and AlgorithmsA very well-known machine model in scheduling allows the machines to be unrelated, modelling jobs that might have different characteristics on each machine. Due to its generality, many optimization problems of this form are very difficult to tackle ...
It tells you that double precision numbers suffer from approximation issues even when it comes to simple numbers like 0.1 or 0.3. Why is this important? It can be a big problem if you're handling prices, or financial calculations, or any kind of data that needs not to be approximated. Do...
Robust well placement optimization Proxy model Time of flight Convolutional neural network Particle swarm optimization 1. Introduction Because of large computational loads for well placement optimizations, proxy models have been developed to provide fast approximation of a full reservoir simulation with compar...
Single-cell RNA sequencing data can unveil the molecular diversity of cell types. Cell type atlases of the mouse spinal cord have been published in recent years but have not been integrated together. Here, we generate an atlas of spinal cell types based on single-cell transcriptomic data, unify...