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TREC
2004
15 years 6 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
ICTAI
2010
IEEE
15 years 1 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
JCST
2008
138views more  JCST 2008»
15 years 4 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
AIED
2009
Springer
15 years 11 months ago
Scaffolding Motivation and Metacognition in Learning Programming
This paper explores the role that feedback based on past actions and motivational states of the learner can have in a motivationally and metacognitively aware Intelligent Tutoring ...
Alison Hull, Benedict du Boulay
CTRSA
2011
Springer
243views Cryptology» more  CTRSA 2011»
14 years 8 months ago
Better Key Sizes (and Attacks) for LWE-Based Encryption
We analyze the concrete security and key sizes of theoretically sound lattice-based encryption schemes based on the “learning with errors” (LWE) problem. Our main contribution...
Richard Lindner, Chris Peikert