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» An Axiomatic Approach to Link Prediction
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AAAI
2011
12 years 7 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
FSE
2005
Springer
122views Cryptology» more  FSE 2005»
14 years 1 months ago
Analysis of the Bit-Search Generator and Sequence Compression Techniques
Abstract. Algebraic attacks on stream ciphers apply (at least theoretically) to all LFSR-based stream ciphers that are clocked in a simple and/or easily predictable way. One intere...
Aline Gouget, Hervé Sibert, Côme Berb...
ACL
2006
13 years 9 months ago
Machine Learning of Temporal Relations
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...
CIBB
2009
13 years 8 months ago
On the Use of Temporal Formal Logic to Model Gene Regulatory Networks
Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is k...
Gilles Bernot, Jean-Paul Comet
TSP
2008
144views more  TSP 2008»
13 years 7 months ago
A New Robust Variable Step-Size NLMS Algorithm
A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm o...
Leonardo Rey Vega, Hernan Rey, Jacob Benesty, Sara...