FLAIRS
2004
13 years 6 months ago
2004
The output weight optimization-hidden weight optimization (OWO-HWO) algorithm for training the multilayer perceptron alternately updates the output weights and the hidden weights....
FLAIRS
2004
13 years 6 months ago
2004
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
FLAIRS
2004
13 years 6 months ago
2004
The necessity for improved players and opponents in firstperson entertainment-based real-time artificial environments has inspired our research into artificial game players. We em...
FLAIRS
2004
13 years 6 months ago
2004
We consider a novel class of applications where a set of activities conducted by a group of people over a time period needs to be planned, taking into account each member's p...
FLAIRS
2004
13 years 6 months ago
2004
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
FLAIRS
2004
13 years 6 months ago
2004
Many dramatizations have depicted a fully automated home living environment, where actions and events are understood or even anticipated. While the realization of such environment...
FLAIRS
2004
13 years 6 months ago
2004
Open source intelligence analysts routinely use the web as a source of information related to their specific taskings. Effective information gathering on the web, despite the prog...
FLAIRS
2004
13 years 6 months ago
2004
A reversible outcome is one that can be changed. For example, the failure of an ongoing project may be avoided if certain actions are taken, while an outcome such as the path of a...
FLAIRS
2004
13 years 6 months ago
2004
This paper describes a novel architecture for a casebased reasoning (CBR) system. Unlike other agent CBR systems in this architecture every case is an autonomous agent with its ow...
FLAIRS
2004
13 years 6 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...