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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
14 years 11 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
ICMLC
2010
Springer
14 years 11 months ago
Data mining model in analyzing portuguese studies as the second language acquisition
: Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Por...
Sam Chao, Fai Wong, CustoDio Cavaco Martins
ICML
2006
IEEE
16 years 2 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
UAI
1998
15 years 2 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
CANDC
2009
ACM
15 years 7 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura