APPLICATION OF MACHINE LEARNING IN INTELLIGENT KNOWLEDGE SEARCH ALGORITHM

A Machine-Learning Approach to Application of Intelligent Artificial Reverberation

AN IMPROVED INTELLIGENT ALGORITHM BASED ON THE GROUP SEARCH ALGORITHM AND THE ARTIFICIAL FISH SWARM ALGORITHM

This article introduces two swarm intelligent algorithms, a group search optimizer (GSO) and an artificial fish swarm algorithm (AFSA). A single intelligent algorithm always has both merits in its specific formulation and deficiencies due to its inherent limitations. Therefore, we propose a mixture of these algorithms to create a new hybrid optimization algorithm known as the group search-artif...

Intelligent Information Access by Exploiting Lexical Knowledge and Machine Learning

Algorithms designed to support users in retrieving relevant information base their relevance computations on user profiles, in which representations of the users interests are maintained. This paper focuses on the use of supervised machine learning techniques to induce user profiles for Intelligent Information Access. The access must be personalized by profiles allowing users to retrieve inform...

Opus: a Systematic Search Algorithm and Its Application to Categorical Attribute-value Data- Driven Machine Learning

OPUS is a branch and bound search algorithm that enables efficient systematic search through spaces in which the order in which the search operators are applied is not significant. OPUS achieves this by maximising the effect of each pruning action. While it is not possible to guarantee in the general case that any pruning shall occur, when pruning is possible, its effect is maximised. Experimen...

Application of Machine Learning to the Maintenanceof Knowledge Base

Integration of machine learning methods into knowledge-based systems requires greater control over the application of the learning methods. Recent research in machine learning has shown that isolated and unconstrained application of learning methods can eventually degrade performance. This paper presents an approach called performance-driven knowledge transformation for controlling the applicat...