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IJCAI
2007
13 years 6 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
MICRO
1999
IEEE
131views Hardware» more  MICRO 1999»
13 years 9 months ago
Value Prediction for Speculative Multithreaded Architectures
The speculative multithreading paradigm (speculative threadlevel parallelism) is based on the concurrent execution of control-speculative threads. The efficiency of microarchitect...
Pedro Marcuello, Jordi Tubella, Antonio Gonz&aacut...
CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 5 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
ACL
2006
13 years 6 months ago
Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
In this paper we investigate the benefit of stochastic predictor components for the parsing quality which can be obtained with a rule-based dependency grammar. By including a chun...
Kilian A. Foth, Wolfgang Menzel
GLOBECOM
2006
IEEE
13 years 11 months ago
Comparative Evaluation of Prediction Heuristics for Wireless Channels
— Impairments in wireless data communication due to time and location dependent errors can be overcome by using channel-adaptive techniques, like channel-aware scheduling or adap...
Ana Aguiar, Adam Wolisz