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» Sequential Instance-Based Learning
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WSC
2000
13 years 9 months ago
Parallel execution of a sequential network simulator
Parallel discrete event simulation (PDES) techniques have not yet made a substantial impact on the network simulation community because of the need to recast the simulation models...
Kevin G. Jones, Samir Ranjan Das
JMLR
2006
90views more  JMLR 2006»
13 years 7 months ago
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
Ron Begleiter, Ran El-Yaniv
ICML
2001
IEEE
14 years 8 months ago
Inducing Partially-Defined Instances with Evolutionary Algorithms
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
Josep Maria Garrell i Guiu, Xavier Llorà
PR
2006
120views more  PR 2006»
13 years 7 months ago
Alternative learning vector quantization
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
Kuo-Lung Wu, Miin-Shen Yang
EMNLP
2007
13 years 9 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Edward Loper