Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
For their scalability needs, data-intensive Web applications can use a Database Scalability Service (DBSS), which caches applications' query results and answers queries on th...
Amit Manjhi, Phillip B. Gibbons, Anastassia Ailama...
Abstract-- Most current information extraction (IE) approaches have considered only static text corpora, over which we typically have to apply IE only once. Many real-world text co...
Fei Chen 0002, AnHai Doan, Jun Yang 0001, Raghu Ra...