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AGI
2008
15 years 8 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
JMLR
2010
160views more  JMLR 2010»
15 years 1 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
IAT
2008
IEEE
16 years 1 months ago
Multidimensional Adaptations for Open Learning Management Systems
Our work is focused on alleviating the workload for designers of adaptive courses on the complexity task of authoring adaptive learning designs adjusted to specific user character...
Silvia Baldiris, Olga C. Santos, David Huerva, Ram...
ICESS
2004
Springer
15 years 12 months ago
Selecting a Scheduling Policy for Embedded Real-Time Monitor and Control Systems
An integrated solution to guarantee real-time requirements in embedded real-time monitor and control systems is presented in this paper. First l task model is abstracted from such ...
Qingxu Deng, Mingsong Lv, Ge Yu
INFOVIS
1998
IEEE
15 years 11 months ago
Saying It in Graphics: From Intentions to Visualizations
We propose a methodology for automatically realizing communicative goals in graphics. It features a task model that mediates the communicative intent and the selection of graphica...
Stephan M. Kerpedjiev, Giuseppe Carenini, Nancy L....