In both visual and textual applications, latent topic models have proven to be a very effective means for this, in essence offering a form of probabilistic regularization or dimensionality reduction that focuses attention on the classes most relevant to the particular example in hand.
The system flow chart presented as Figure 3 illustrates the connectivity that was achieved so that the CHW could access a series of textual manual applications and use short codes or text strings to trigger the server through the telecom company (MTN) base station services network.
In the 1990s it largely replaced the hierarchical and network models, and it also became the model of choice for large-scale information-management applications, both textual and multimedia.
Deep Learning algorithms are applicable to different kinds of input data; however, in this section we focus on its application on image, textual, and audio data.
Chomsky grammars are the key tool to handle textual notations, and find many applications for textual languages.
Many approaches were presented recently for developing Textual Case-Based Reasoning (TCBR) applications.
Semantic similarity has become, in recent years, the backbone of numerous knowledge-based applications dealing with textual data.
This experience is explained in the paper, together with a description of the specialized CBR tools that can be implemented with jcolibri: CBR with textual cases, recommenders, knowledge/data intensive applications or distributed architectures.
While we also study the usage of GP for image search, in this new article we are particularly interested in studying the application of various different textual features for image search using GP.
