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» Self-Explanatory Simulations: Scaling Up to Large Models
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ILP
2005
Springer
15 years 3 months ago
Strategies to Parallelize ILP Systems
Abstract. It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to find valuable models (theories). The problem is specially ...
Nuno A. Fonseca, Fernando M. A. Silva, Rui Camacho
NIPS
2007
14 years 11 months ago
Object Recognition by Scene Alignment
Current object recognition systems can only recognize a limited number of object categories; scaling up to many categories is the next challenge. We seek to build a system to reco...
Bryan C. Russell, Antonio Torralba, Ce Liu, Robert...
JMLR
2012
13 years 6 days ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
ICISS
2007
Springer
15 years 3 months ago
Investigating the Impact of Real-World Factors on Internet Worm Propagation
This paper reports the results of our experimentation with modeling worm behavior on a large scale, fully adaptable network simulator. Our experiments focused on areas of worm scan...
Daniel A. Ray, Charles B. Ward, Bogdan Munteanu, J...
NIPS
2007
14 years 11 months ago
Sequential Hypothesis Testing under Stochastic Deadlines
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Peter Frazier, Angela Yu