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ACL
1998
15 years 8 months ago
Improving Data Driven Wordclass Tagging by System Combination
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...
Hans van Halteren, Jakub Zavrel, Walter Daelemans
199
Voted
ICML
2010
IEEE
15 years 8 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
JAIR
2006
108views more  JAIR 2006»
15 years 7 months ago
Preference-based Search using Example-Critiquing with Suggestions
We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for ...
Paolo Viappiani, Boi Faltings, Pearl Pu
JCSS
2007
116views more  JCSS 2007»
15 years 7 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
219
Voted
ICASSP
2010
IEEE
15 years 5 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...