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EMNLP
2011
14 years 6 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 2 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
186
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INFOCOM
2012
IEEE
13 years 9 months ago
ICP: Design and evaluation of an Interest control protocol for content-centric networking
—Content-centric networking (CCN) brings a paradigm shift in the present Internet communication model by addressing named-data instead of host locations. With respect to TCP/IP, ...
Giovanna Carofiglio, Massimo Gallo, Luca Muscariel...
CSFW
2012
IEEE
13 years 9 months ago
Discovering Concrete Attacks on Website Authorization by Formal Analysis
—Social sign-on and social sharing are becoming an ever more popular feature of web applications. This success is largely due to the APIs and support offered by prominent social ...
Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffe...
SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
13 years 9 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
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