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COLING
2008
15 years 8 months ago
A Local Alignment Kernel in the Context of NLP
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
Sophia Katrenko, Pieter W. Adriaans
NIPS
2007
15 years 8 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
ACL
2006
15 years 8 months ago
Prototype-Driven Grammar Induction
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
Aria Haghighi, Dan Klein
NIPS
2004
15 years 8 months ago
Newscast EM
We propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast EM. The algorithm operates on network topologies where each node observes a local quantity ...
Wojtek Kowalczyk, Nikos A. Vlassis
NIPS
2004
15 years 8 months ago
Exponential Family Harmoniums with an Application to Information Retrieval
Directed graphical models with one layer of observed random variables and one or more layers of hidden random variables have been the dominant modelling paradigm in many research ...
Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton