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ACL
2006
13 years 9 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
LREC
2008
132views Education» more  LREC 2008»
13 years 9 months ago
From Human Communication to Intelligent User Interfaces: Corpora of Spoken Estonian
We argue for the necessity of studying human-human spoken conversations of various kinds in order to create user interfaces to databases. An efficient user interface benefits from...
Tiit Hennoste, Olga Gerassimenko, Riina Kasterpalu...
IFIP
2004
Springer
14 years 28 days ago
Activity-Based User Modeling in Service-Oriented Ad-Hoc-Networks
Wireless network research still lacks methods to integratively evaluate the performance that can be expected from application layer protocols. The user behavior is predominantly aï...
Tobias Breyer, Michael Klein, Philipp Obreiter, Bi...
EACL
2003
ACL Anthology
13 years 9 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
AMI
2008
Springer
13 years 9 months ago
Adaptive Estimation of Emotion Generation for an Ambient Agent Model
To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recogni...
Tibor Bosse, Zulfiqar A. Memon, Jan Treur