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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
CVPR
2011
IEEE
13 years 4 months ago
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
CORR
2007
Springer
73views Education» more  CORR 2007»
13 years 9 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
AIEDU
2008
174views more  AIEDU 2008»
13 years 9 months ago
Automatic Extraction of Pedagogic Metadata from Learning Content
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
Devshri Roy, Sudeshna Sarkar, Sujoy Ghose
ECAI
2008
Springer
13 years 10 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche