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» Approximate Learning of Dynamic Models
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134
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ICMI
2010
Springer
129views Biometrics» more  ICMI 2010»
15 years 3 months ago
Quantifying group problem solving with stochastic analysis
Quantifying the relationship between group dynamics and group performance is a key issue of increasing group performance. In this paper, we will discuss how group performance is r...
Wen Dong, Alex Pentland
164
Voted
ICML
2007
IEEE
16 years 5 months ago
Trust region Newton methods for large-scale logistic regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
EMNLP
2006
15 years 6 months ago
Multilingual Deep Lexical Acquisition for HPSGs via Supertagging
We propose a conditional random fieldbased method for supertagging, and apply it to the task of learning new lexical items for HPSG-based precision grammars of English and Japanes...
Phil Blunsom, Timothy Baldwin
JMLR
2012
13 years 7 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
ICCV
2009
IEEE
15 years 2 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos