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AIL
2005
104views more  AIL 2005»
15 years 1 months ago
Argument Based Machine Learning Applied to Law
In this paper we discuss the application of a new machine learning approach - Argument Based Machine Learning - to the legal domain. An experiment using a dataset which has also be...
Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Cap...
219
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AIEDAM
2011
14 years 8 months ago
Discovering implicit constraints in design
In familiar design domains, expert designers are able to quickly focus on “good designs”, based on constraints they have learned while exploring the design space. This ability ...
Madan Mohan Dabbeeru, Amitabha Mukerjee
106
Voted
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 11 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
REFSQ
2010
Springer
14 years 11 months ago
Towards a Framework for Specifying Software Robustness Requirements Based on Patterns
Abstract. [Context and motivation] With increasing use of software, quality attributes grow in relative importance. Robustness is a software quality attribute that has not received...
Ali Shahrokni, Robert Feldt
131
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WAW
2010
Springer
270views Algorithms» more  WAW 2010»
14 years 11 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...