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IDA
2001
Springer
15 years 4 months ago
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
Paul R. Cohen, Niall M. Adams
WWW
2011
ACM
14 years 7 months ago
From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
CRYPTO
2007
Springer
109views Cryptology» more  CRYPTO 2007»
15 years 6 months ago
A Tight High-Order Entropic Quantum Uncertainty Relation with Applications
We derive a new entropic quantum uncertainty relation involving min-entropy. The relation is tight and can be applied in various quantum-cryptographic settings. Protocols for quant...
Ivan Damgård, Serge Fehr, Renato Renner, Lou...
IJCNLP
2005
Springer
15 years 6 months ago
Exploring Syntactic Relation Patterns for Question Answering
Abstract. In this paper, we explore the syntactic relation patterns for opendomain factoid question answering. We propose a pattern extraction method to extract the various relatio...
Dan Shen, Geert-Jan M. Kruijff, Dietrich Klakow
AIME
2005
Springer
15 years 2 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim