The core concept of the research is linking together multiple types of data into a single multidimensional index (or “embedding space,” to use AI parlance). This idea may seem a little abstract, but it’s this same concept that underpins the recent boom in generative AI. Multimodal AI...
SQL Functions Limit ROLAP Technology: SQL statements are used to query a relational database, and SQL statements do not meet all needs. 2. Multidimensional OLAP Models (MOLAP) MOLAP stands for Multidimensional OLAP Model, an application based on multidimensional DBMSs. The foundation of a MOLAP ...
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
Data modeling is highly technical, a bit arcane and interdependent with databases and programming languages. In other words, the choice of the database system in which data will be stored and the language used to describe a data model can influence the development of the data model. The good ...
Self-organising maps: This is a type of artificial neural network that's used for clustering and mapping techniques to map multidimensional data onto lower-dimensional, which allows you to reduce completed problems for easy interpretation. Gaussian mixture models: A Gaussian mixture model is useful ...
Apache HBase is a multidimensional, distributed, open-source, and NoSQL database written in Java. It runs on top of HDFS providing Bigtable-like capabilities for Hadoop. Apache Spark Apache Spark is an open-source general-purpose cluster-computing framework. It provides an interface for programmi...
of a dimension can be set to Accounts to indicate to client applications that the standard dimension contains account attributes. For more information about time, account, and currency dimensions, seeTime (Analysis Services - Multidimensional Data),Account (Analysis Services - Multidimensional Data), ...
We develop an econometric framework for incorporating spatial dependence in integrated model systems of latent variables and multidimensional mixed data outcomes. The framework combines Bhat's Generalized Heterogeneous Data Model (GHDM) with a spatial (social) formulation to parsimoniously introduce spatial...
We aim to provide an algebraically-grounded implementation of AD for shape-safe tensor operations. Tensors in Kotlin∇ are represented as multidimensional arrays. Features Kotlin∇ currently supports the following features: Arithmetical operations on scalars, vectors and matrices Shape-safe vector and...
ArraySlice - Returns an array slice of a given range, just like Array#slice(). LastArrayElement - Extracts the type of the last element of an array. FixedLengthArray - Create a type that represents an array of the given type and length. MultidimensionalArray - Create a type that represent...