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ACL
2012
12 years 8 days ago
Modeling Sentences in the Latent Space
Sentence Similarity is the process of computing a similarity score between two sentences. Previous sentence similarity work finds that latent semantics approaches to the problem ...
Weiwei Guo, Mona T. Diab
DAC
2005
ACM
13 years 11 months ago
Performance space modeling for hierarchical synthesis of analog integrated circuits
Automated analog sizing is becoming an unavoidable solution for increasing analog design productivity. The complexity of typical analog SoC subsystems however calls for efficient ...
Georges G. E. Gielen, Trent McConaghy, Tom Eeckela...
JMLR
2006
105views more  JMLR 2006»
13 years 9 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
NECO
2002
104views more  NECO 2002»
13 years 9 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
NAACL
2010
13 years 7 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney