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» Backdoors in the Context of Learning
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NIPS
2008
13 years 12 months ago
Bayesian Synchronous Grammar Induction
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
Phil Blunsom, Trevor Cohn, Miles Osborne
COMCOM
2010
167views more  COMCOM 2010»
13 years 7 months ago
Effective load for flow-level performance modelling of file transfers in wireless LANs
Today, a wide range of 802.11-based Wireless LANs (WLANs) have become dominant to provide wireless Internet access for file transfers. For engineering purposes, there is a need fo...
Geert Jan Hoekstra, Robert D. van der Mei
COLING
2010
13 years 5 months ago
Acquisition of Unknown Word Paradigms for Large-Scale Grammars
Unknown words are a major issue for large-scale grammars of natural language. We propose a machine learning based algorithm for acquiring lexical entries for all forms in the para...
Kostadin Cholakov, Gertjan van Noord
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 10 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
CVPR
2010
IEEE
14 years 6 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...