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» Learning minimal abstractions
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126
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FOCS
2008
IEEE
15 years 10 months ago
Hardness of Minimizing and Learning DNF Expressions
We study the problem of finding the minimum size DNF formula for a function f : {0, 1}d → {0, 1} given its truth table. We show that unless NP ⊆ DTIME(npoly(log n) ), there i...
Subhash Khot, Rishi Saket
87
Voted
DAGM
2005
Springer
15 years 9 months ago
Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort
Peter M. Roth, Helmut Grabner, Danijel Skocaj, Hor...
ACL
2007
15 years 5 months ago
Learning to Extract Relations from the Web using Minimal Supervision
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
Razvan C. Bunescu, Raymond J. Mooney
NIPS
2008
15 years 5 months ago
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
Ali Rahimi, Benjamin Recht