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SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
12 years 1 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
ESOP
1999
Springer
14 years 3 months ago
Types for Safe Locking
Abstract. A race condition is a situation where two threads manipulate a data structure simultaneously, without synchronization. Race conditions are common errors in multithreaded ...
Cormac Flanagan, Martín Abadi
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
14 years 4 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
NLPRS
2001
Springer
14 years 3 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
NAACL
1994
14 years 3 days ago
A Report of Recent Progress in Transformation-Based Error-Driven Learning
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill