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» A Hybrid Approach to Adaptive Statistical Language Modeling
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ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
IEEEPACT
2009
IEEE
13 years 5 months ago
Adaptive Locks: Combining Transactions and Locks for Efficient Concurrency
Transactional memory is being advanced as an alternative to traditional lock-based synchronization for concurrent programming. Transactional memory simplifies the programming mode...
Takayuki Usui, Reimer Behrends, Jacob Evans, Yanni...
JCST
2008
138views more  JCST 2008»
13 years 8 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
CIKM
2009
Springer
14 years 2 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
CORR
2007
Springer
77views Education» more  CORR 2007»
13 years 8 months ago
Query Evaluation and Optimization in the Semantic Web
We address the problem of answering Web ontology queries efficiently. An ontology is formalized as a Deductive Ontology Base (DOB), a deductive database that comprises the ontology...
Edna Ruckhaus, Eduardo Ruiz, Maria-Esther Vidal