A machine learning technique called Graph-Based Induction (GBI) efficiently extracts typical patterns from graph-structured data by stepwise pair expansion (pairwise chunking). It is very efficient because of its greedy search. Meanwhile, a decision tree is an effective means of data classification from which rules that are easy to understand can be obtained. However, a decision tree could not ...

Graph-Based Induction (GBI) extracts typical patterns from graph data by stepwise pair expansion (pairwise chunking). It is very efficient because of its greedy search strategy but at the same time it suffers from the incompleteness of search. Improvement is made on its search capability without imposing much computational complexity by 1) incorporating a beam search, 2) using a different evalu...

Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant preprocessing. Such information is often relational and is best represented by a set of directed graphs. A machine learning technique called graph-based induction (GBI) e ciently extracts regularities from such data, base...

We present a comparison for high-resolution imaging with a laboratory source between grating-based (GBI) and propagation-based (PBI) x-ray phase-contrast imaging. The comparison is done through simulations and experiments using a liquid-metal-jet x-ray microfocus source. Radiation doses required for detection in projection images are simulated as a function of the diameter of a cylindrical samp...

AIM To compare the efficacy of manual and oscillating-rotating electric toothbrushes in removing plaque and reducing gingivitis in patients with fixed orthodontic appliances. STUDY DESIGN Randomised clinical trial. MATERIALS AND METHODS 20 subjects aged 10 to 14 years (8 males; 12 females) scheduled for fixed orthodontic treatment were enrolled, randomly divided into two groups, A and B, an...

The Greenland blocking index (GBI), an indicator of the synoptic-scale circulation over Greenland, has been anomalously positive during most summers since late 1990s. Such changes in atmospheric circulation, favouring anticyclonic conditions, have led to increase summer temperatures, a decrease cloud cover and larger surface melt. GBI is therefore key melting mass balance variability ice sheet....

Novel gadolinium-loaded liposomes guided by GBI-10 aptamer were developed and evaluated in vitro to enhance magnetic resonance imaging (MRI) diagnosis of tumor. Nontargeted gadolinium-loaded liposomes were achieved by incorporating amphipathic material, Gd (III) [N,N-bis-stearylamidomethyl-N'-amidomethyl] diethylenetriamine tetraacetic acid, into the liposome membrane using lipid film hydration...

Decision tree Graph-Based Induction (DT-GBI) is proposed that constructs a decision tree for graph structured data. Substructures (patterns) are extracted at each node of a decision tree by stepwise pair expansion (pairwise chunking) in GBI to be used as attributes for testing. Since attributes (features) are constructed while a classifier is being constructed, DT-GBI can be conceived as a meth...

This paper presents a new time-variant reverberation algorithm that can be used in reverberation enhancement systems. In these systems, acoustical feedback is always present and time variance can be used to obtain more gain before instability (GBI). The presented time-variant reverberation algorithm is analyzed and results of a practical GBI test are presented. The proposed reverberation algori...

This keynote paper highlights the concept and objectives of green buildings. The fundamental features and characters of green buildings are presented. This paper focuses on the two primary issues; (i) the environmental protection and energy conservation and, (ii) the healthy indoor environment providing residential users with a comfortable and safe living. The paper also highlights history of g...