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» MABLE: a framework for learning from natural instruction
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AIED
2005
Springer
15 years 3 months ago
On the Prospects of Intelligent Collaborative E-learning Systems
Collaborative learning is question-driven and open-ended by nature. Many of the techniques developed for intelligent tutoring are applicable only in more structured settings, but f...
Miikka Miettinen, Jaakko Kurhila, Henry Tirri
CVPR
2006
IEEE
15 years 11 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 3 months ago
A Framework for Incorporating Class Priors into Discriminative Classification
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Rong Jin, Yi Liu
ICCV
2007
IEEE
15 years 4 months ago
Multilinear Projection for Appearance-Based Recognition in the Tensor Framework
Numerical multilinear (tensor) algebra is a principled mathematical approach to disentangling and explicitly and parsimoniously representing the essential factors or modes of imag...
M. Alex O. Vasilescu, Demetri Terzopoulos
SIGDIAL
2010
14 years 7 months ago
Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy
This paper presents a spoken dialogue framework that helps users in making decisions. Users often do not have a definite goal or criteria for selecting from a list of alternatives...
Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chi...