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ACL
2006
15 years 8 months ago
Factorizing Complex Models: A Case Study in Mention Detection
As natural language understanding research advances towards deeper knowledge modeling, the tasks become more and more complex: we are interested in more nuanced word characteristi...
Radu Florian, Hongyan Jing, Nanda Kambhatla, Imed ...
NAACL
2001
15 years 8 months ago
A Probabilistic Earley Parser as a Psycholinguistic Model
In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options...
John Hale
CORR
2010
Springer
53views Education» more  CORR 2010»
15 years 6 months ago
Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong
We analyse the prequential plug-in codes relative to one-parameter exponential families M. We show that if data are sampled i.i.d. from some distribution outside M, then the redund...
Peter Grünwald, Wojciech Kotlowski
DKE
2007
95views more  DKE 2007»
15 years 6 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
16 years 10 days ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su