Results 11 to 20 of about 36,047,180 (365)
Blockchain Abstract Data Type [PDF]
The presented work continues the line of recent distributed computing communityefforts dedicated to the theoretical aspects of blockchains. This paper is the rst tospecify blockchains as a composition of abstract data types all together with a hierarchyof consistency criteria that formally characterizes the histories admissible for distributedprograms ...
Anceaume, Emmanuelle+4 more
openaire +10 more sources
Bio-Strings: A Relational Database Data-Type for Dealing with Large Biosequences. [PDF]
DNA sequencers output a large set of very long biological data strings that we should persist in databases rather than basic text file systems. Many different data models and database management systems (DBMS) may deal with both storage and efficiency ...
Lifschitz S+7 more
europepmc +2 more sources
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization [PDF]
Quantization is a technique to reduce the computation and memory cost of DNN models, which are getting increasingly large. Existing quantization solutions use fixed-point integer or floating-point types, which have limited benefits, as both require more ...
Cong Guo+7 more
semanticscholar +1 more source
Background The growing field of personal sensing harnesses sensor data collected from individuals’ smartphones to understand their behaviors and experiences. Such data could be a powerful tool within mental health care.
Nicholas J+5 more
europepmc +2 more sources
A Decision Procedure for Path Feasibility of String Manipulating Programs with Integer Data Type [PDF]
Strings are widely used in programs, especially in web applications. Integer data type occurs naturally in string-manipulating programs, and is frequently used to refer to lengths of, or positions in, strings.
Taolue Chen+6 more
semanticscholar +1 more source
Sherlock: A Deep Learning Approach to Semantic Data Type Detection [PDF]
Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery. Existing data preparation and analysis systems rely on dictionary lookups and regular expression
Madelon Hulsebos+7 more
semanticscholar +1 more source
Whole genome phylogeny of Gallus: introgression and data-type effects
Previous phylogenetic studies that include the four recognized species of Gallus have resulted in a number of distinct topologies, with little agreement.
G. Tiley+5 more
semanticscholar +1 more source
The Transrational Numbers as an Abstract Data Type
In an arithmetical structure one can make division a total function by defining 1/0 to be an element of the structure, or by adding a new element, such as an error element also denoted with a new constant symbol, an unsigned infinity or one or both ...
J. Bergstra, J. V. Tucker
semanticscholar +1 more source
Identification of cell populations often relies on manual annotation of cell clusters using established marker genes. However, the selection of marker genes is a time-consuming process that may lead to sub-optimal annotations as the markers must be ...
Aleksandr Ianevski+2 more
semanticscholar +1 more source
MissForest - non-parametric missing value imputation for mixed-type data [PDF]
MOTIVATION Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set.
D. Stekhoven, P. Bühlmann
semanticscholar +1 more source