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NIPS
2008
14 years 11 months ago
A Scalable Hierarchical Distributed Language Model
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
Andriy Mnih, Geoffrey E. Hinton
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
QEST
2005
IEEE
15 years 3 months ago
iLTLChecker: A Probabilistic Model Checker for Multiple DTMCs
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
YoungMin Kwon, Gul A. Agha
KDD
2003
ACM
170views Data Mining» more  KDD 2003»
15 years 10 months ago
Efficient decision tree construction on streaming data
Decision tree construction is a well studied problem in data mining. Recently, there has been much interest in mining streaming data. Domingos and Hulten have presented a one-pass...
Ruoming Jin, Gagan Agrawal
ALGORITHMICA
2005
93views more  ALGORITHMICA 2005»
14 years 9 months ago
Universal Asymptotics for Random Tries and PATRICIA Trees
Abstract. We consider random tries and random patricia trees constructed from n independent strings of symbols drawn from any distribution on any discrete space. We show that many ...
Luc Devroye