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» Using Random Forests in the Structured Language Model
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AGI
2008
13 years 10 months ago
Text Disambiguation by Educable AI System
The structure of possible text understanding system is discussed. To store concepts and knowledge system uses multilayer ontology based on pragmatic memory model. The way of knowle...
Alexander Voskresenskij
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 8 months ago
Metric Structures and Probabilistic Computation
Abstract. Continuous first-order logic is used to apply model-theoretic analysis to analytic structures (e.g. Hilbert spaces, Banach spaces, probability spaces, etc.). Classical co...
Wesley Calvert
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 8 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
CVIU
2006
162views more  CVIU 2006»
13 years 8 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
IDA
2009
Springer
14 years 3 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...