Distributed Learning over Massive XML Documents in ELM Feature Space

ELM-Based Distributed Cooperative Learning Over Networks

This paper investigates distributed cooperative learning algorithms for data processing in a network setting. Specifically, the extreme learning machine (ELM) is introduced to train a set of data distributed across several components, and each component runs a program on a subset of the entire data. In this scheme, there is no requirement for a fusion center in the network due to e.g., practica...

Flexible Collaboration over XML Documents

XML documents are increasingly being used to mark up various kinds of data from web content to scientific data. Often these documents need to be collaboratively created and edited by a group of users. In this paper we present a flexible solution for supporting collaboration over XML documents. Merging of user work is based on the operations performed. A key to achieving flexibility for the defi...

A distributed editing environment for XML documents

XML is based on two essential aspects: the modelization of data in a tree like structure and the separation between the information itself and the way it is displayed. XML structures are easily serializable. The separation between an abstract representation and one or several views on it allows the elaboration of specialized interfaces to visualize or modify data. A lot of developments were mad...

Distributed and Cooperative Updates of XML Documents

Cascaded Regular Grammars over XML Documents

The basic mechanism of CLaRK for linguistic processing of text corpora is the cascade regular grammar processor. The main challenge to the grammars in question is how to apply them on XML encoding of the linguistic information. The system o ers a solution using an XPath language for constructing the input word to the grammar and an XML encoding of the categories of the recognized words.