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» The complexity of properly learning simple concept classes
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PAMI
2007
187views more  PAMI 2007»
13 years 8 months ago
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno,...
FOCS
2008
IEEE
14 years 3 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
HYBRID
2000
Springer
14 years 11 days ago
Decidability and Complexity Results for Timed Automata and Semi-linear Hybrid Automata
Abstract. We define a new class of hybrid automata for which reachability is decidable--a proper superclass of the initialized rectangular hybrid automata--by taking parallel compo...
Joseph S. Miller
IANDC
2006
102views more  IANDC 2006»
13 years 8 months ago
Polynomial certificates for propositional classes
This paper studies the complexity of learning classes of expressions in propositional logic from equivalence queries and membership queries. In particular, we focus on bounding th...
Marta Arias, Aaron Feigelson, Roni Khardon, Rocco ...
ECCC
2006
96views more  ECCC 2006»
13 years 8 months ago
When Does Greedy Learning of Relevant Features Succeed? --- A Fourier-based Characterization ---
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
Jan Arpe, Rüdiger Reischuk