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NLPRS
2001
Springer
15 years 11 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
15 years 11 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus
RSP
1999
IEEE
15 years 11 months ago
System Design Validation Using Formal Models
Formal methods are a nice idea, but the size and complexity of real systems means that they are impractical. We propose that a reasonable alternative to attempting to specify and ...
Peter Henderson, Robert John Walters
ECAL
2007
Springer
15 years 10 months ago
Synthesizing Physically-Realistic Environmental Models from Robot Exploration
Abstract. In previous work [4] a framework was demonstrated that allows an autonomous robot to automatically synthesize physically-realistic models of its own body. Here it is demo...
Josh C. Bongard
ITP
2010
164views Mathematics» more  ITP 2010»
15 years 10 months ago
Nitpick: A Counterexample Generator for Higher-Order Logic Based on a Relational Model Finder
Nitpick is a counterexample generator for Isabelle/HOL that builds on Kodkod, a SAT-based first-order relational model finder. Nitpick supports unbounded quantification, (co)ind...
Jasmin Christian Blanchette, Tobias Nipkow