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» Model Combination for Machine Translation
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ICML
2008
IEEE
16 years 4 months ago
Knows what it knows: a framework for self-aware learning
We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its...
Lihong Li, Michael L. Littman, Thomas J. Walsh
ECML
2006
Springer
15 years 7 months ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
151
Voted
ISORC
1999
IEEE
15 years 7 months ago
v-Promela: A Visual, Object-Oriented Language for SPIN
We describe the design of VIP, a graphical front-end to the model checker SPIN. VIP supports a visual formalism, called v-Promela that connects the model checker to modern hierarc...
Stefan Leue, Gerard J. Holzmann
122
Voted
WSC
2001
15 years 4 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
127
Voted
IJMSO
2010
119views more  IJMSO 2010»
15 years 1 months ago
Ontological technologies for user modelling
: This paper brings together research from two different fields – user modelling and web ontologies – in attempt to demonstrate how recent semantic trends in web development ca...
Sergey A. Sosnovsky, Darina Dicheva