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WEBIST
2008
15 years 29 days ago
Transforming a Competency Model to Parameterised Questions in Assessment
The problem of comparing and matching different learners' knowledge arises when assessment systems use a one-dimensional numerical value to represent "knowledge level&quo...
Onjira Sitthisak, Lester Gilbert, Hugh C. Davis
COLING
2002
14 years 11 months ago
Unsupervised Named Entity Classification Models and their Ensembles
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Jae-Ho Kim, In-Ho Kang, Key-Sun Choi
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 5 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
ISVC
2005
Springer
15 years 5 months ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin
ECOOPW
1999
Springer
15 years 3 months ago
Aspects and Superimpositions
The model checking of applications of aspects is explained, by showing the stages and proof obligations when a collection of generic aspects (called a superimposition) is combined...
Shmuel Katz, Joseph Gil