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Urban and population growth results in increasing pressure on the public utilities like transport, energy, healthcare services, crime management and emergency services in the realm of smart city manag...
This article is the first in a series about electronic discovery in bankruptcy. This article will cover the basics of electronic discovery, including history, rules and resources. Future articles will...
This article is the second in a series about electronic discovery in bankruptcy. The first article covered the basics of electronic discovery, including history, rules and resources. This article will...
This article is the third in a series about electronic discovery in bankruptcy. The first article covered the basics of electronic discovery, including history, rules and resources. The second discuss...
This article is the last in a series of articles about electronic discovery in bankruptcy. The first article covered the basics of electronic discovery, including history, rules and resources. The sec...
Websites and other sources for researching e-discovery cases; email as evidence; mobile apps for e-discovery; social media archiving and compliance; handling social media as electronically stored info...
Mapping of strongly inherited classical traits have been immensely helpful in understanding many important traits including diseases, yield and immunity. But some of these traits are too complex and a...
This thesis represents a synthesis of relational learning and causal discovery, two subjects at the frontier of machine learning research. Relational learning investigates algorithms for constructing ...
Many domains are currently experiencing the growing trend to record and analyze massive, observational data sets with increasing complexity. A commonly made claim is that these data sets hold potentia...
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneously segments the speec...
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where the end goal is to cl...
In this paper, we present an unsupervised method for automatically discovering words from speech using a combination of acoustic pattern discovery, graph clustering, and baseform searching. The algori...
In binary-transaction data-mining, traditional frequent itemset mining often produces results which are not straightforward to interpret. To overcome this problem, probability models are often used to...
Fact-based conceptual modelling approaches seek, as one goal, to express detail about a universe of discourse (UoD) as elementary declarative statements, generalised from collections of data. A furthe...
In this paper the experiences of a business analyst who worked on several projects using the object-oriented (O O) approach are described. The business analyst in question had initially no background...

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