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VAMOS
2010
Springer
13 years 9 months ago
Supporting Stepwise, Incremental Product Derivation in Product Line Requirements Engineering
Deriving products from a software product line is difficult, particularly when there are many constraints in the variability of the product line. Understanding the impact of variab...
Reinhard Stoiber, Martin Glinz
LREC
2008
90views Education» more  LREC 2008»
13 years 9 months ago
Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation
Open answers in questionnaires contain valuable information that is very time-consuming to analyze manually. We present a method for hypothesis generation from questionnaires base...
Magnus Rosell, Sumithra Velupillai
NIPS
2007
13 years 9 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
AAAI
2004
13 years 9 months ago
Common Sense Data Acquisition for Indoor Mobile Robots
Common sense knowledge can be efficiently collected from non-experts over the web in a similar fashion to the Open Mind family of distributed knowledge capture projects. We descri...
Rakesh Gupta, Mykel J. Kochenderfer