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» Structured Relation Discovery using Generative Models
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DATE
1999
IEEE
111views Hardware» more  DATE 1999»
15 years 4 months ago
Sequential Circuit Test Generation Using Decision Diagram Models
A novel approach to testing sequential circuits that uses multi-level decision diagram representations is introduced. The proposed algorithm consists of a combination of scanning ...
Jaan Raik, Raimund Ubar
EMNLP
2010
14 years 9 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
HRI
2006
ACM
15 years 5 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
WISE
2007
Springer
15 years 6 months ago
Goal-Based Visualization and Browsing for Semantic Web Services
Abstract. We present a goal-based approach for visualizing and browsing the search space of available Web services. A goal describes an obthat a client wants to solve by using Web ...
Michael Stollberg, Mick Kerrigan
UAI
2008
15 years 1 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...