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» Use of Lexicon Density in Evaluating Word Recognizers
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PRL
2007
200views more  PRL 2007»
13 years 7 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 25 days ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
NAACL
2007
13 years 9 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
ASPLOS
1989
ACM
13 years 11 months ago
Architecture and Compiler Tradeoffs for a Long Instruction Word Microprocessor
A very long instruction word (VLIW) processorexploits parallelism by controlling multiple operations in a single instruction word. This paper describes the architecture and compil...
Robert Cohn, Thomas R. Gross, Monica S. Lam, P. S....
EMNLP
2008
13 years 9 months ago
Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
Human linguistic annotation is crucial for many natural language processing tasks but can be expensive and time-consuming. We explore the use of Amazon's Mechanical Turk syst...
Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andr...