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99
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ANLP
1994
98views more  ANLP 1994»
15 years 2 months ago
Combination of Symbolic and Statistical Approaches for Grammatical Knowledge Acquisition
The framework we adopted for customizing linguistic knowledge to individual application domains is an integration of symbolic and statistical approaches. In order to acquire domai...
Masaki Kiyono, Jun-ichi Tsujii
107
Voted
CORR
2008
Springer
80views Education» more  CORR 2008»
15 years 26 days ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
CORR
2007
Springer
87views Education» more  CORR 2007»
15 years 22 days ago
Symbol Error Rates of Maximum-Likelihood Detector: Convex/Concave Behavior and Applications
— Convexity/concavity properties of symbol error rates (SER) of the maximum likelihood detector operating in the AWGN channel (non-fading and fading) are studied. Generic conditi...
Sergey Loyka, Victoria Kostina, François Ga...
92
Voted
JILP
2002
83views more  JILP 2002»
15 years 13 days ago
Using Statistical and Symbolic Simulation for Microprocessor Performance Evaluation
As microprocessor designs continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models...
Mark Oskin, Frederic T. Chong, Matthew K. Farrens
95
Voted
ROBOTICA
2008
100views more  ROBOTICA 2008»
15 years 7 days ago
A symbolic approach to polyhedral scene analysis by parametric calotte propagation
Polyhedral scene analysis studies whether a 2D line drawing of a 3D polyhedron is realizable in the space, and if so, parameterizing the space of all possible realizations. For gen...
Hongbo Li, Lina Zhao, Ying Chen