1405 search results - page 174 / 281 » Learning Instance-Specific Predictive Models |
130
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
101
Voted
UM
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile...
121
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
132
Voted
UM
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
134
Voted
KDD
2002
ACM
16 years 2 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...