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» Classifying Problems into Complexity Classes
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DAWAK
2006
Springer
15 years 4 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
101
Voted
AIPS
2004
15 years 1 months ago
Complexity of Planning with Partial Observability
We show that for conditional planning with partial observability the existence problem of plans with success probability 1 is 2-EXP-complete. This result completes the complexity ...
Jussi Rintanen
125
Voted
CVPR
2007
IEEE
16 years 2 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
NIPS
2008
15 years 1 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
96
Voted
AI
2005
Springer
15 years 13 days ago
: Compiling problem specifications into SAT
We present a compiler that translates a problem specification into a propositional satisfiability test (SAT). Problems are specified in a logic-based language, called NP-SPEC, whi...
Marco Cadoli, Andrea Schaerf