Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
People accessing documents via the Internet typically experience latencies in retrieving content. We discuss continual-computation policies that dictate strategies for prefetching...
We revisit recently proposed algorithms for probabilistic clustering with pair-wise constraints between data points. We evaluate and compare existing techniques in terms of robust...
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Popularity of mobile devices is accompanied by widespread security problems, such as MAC address spoofing in wireless networks. We propose a probabilistic approach to temporal an...