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SIGIR
2003
ACM
15 years 12 months ago
Bayesian extension to the language model for ad hoc information retrieval
We propose a Bayesian extension to the ad-hoc Language Model. Many smoothed estimators used for the multinomial query model in ad-hoc Language Models (including Laplace and Bayes-...
Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping
HAIS
2010
Springer
15 years 11 months ago
Graph-Based Model-Selection Framework for Large Ensembles
The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...
Krisztian Buza, Alexandros Nanopoulos, Lars Schmid...
SCHOLARPEDIA
2008
73views more  SCHOLARPEDIA 2008»
15 years 6 months ago
Multiple drafts model
In his book "Consciousness Explained"[2], Daniel Dennett explores some of what he perceives are the weaknesses in current models of cognition, and tries to provide an alt...
Daniel Dennett, Kathleen Akins
ICASSP
2009
IEEE
16 years 1 months ago
Discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition
In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeli...
Hung-An Chang, James R. Glass
ACL
2008
15 years 8 months ago
Randomized Language Models via Perfect Hash Functions
We propose a succinct randomized language model which employs a perfect hash function to encode fingerprints of n-grams and their associated probabilities, backoff weights, or oth...
David Talbot, Thorsten Brants