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184
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NAACL
2003
15 years 8 months ago
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
This paper describes an unsupervised algorithm for placing unknown words into a taxonomy and evaluates its accuracy on a large and varied sample of words. The algorithm works by ļ...
Dominic Widdows
245
Voted
WWW
2011
ACM
15 years 1 months ago
Estimating sizes of social networks via biased sampling
Online social networks have become very popular in recent years and their number of users is already measured in many hundreds of millions. For various commercial and sociological...
Liran Katzir, Edo Liberty, Oren Somekh
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 7 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
PQCRYPTO
2010
187views Cryptology» more  PQCRYPTO 2010»
15 years 10 months ago
Information-Set Decoding for Linear Codes over Fq
The best known non-structural attacks against code-based cryptosystems are based on information-set decoding. Stern’s algorithm and its improvements are well optimized and the co...
Christiane Peters
IR
2010
15 years 5 months ago
Gradient descent optimization of smoothed information retrieval metrics
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
Olivier Chapelle, Mingrui Wu