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ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 12 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
ICASSP
2011
IEEE
14 years 10 months ago
Objective evaluation of the Dynamic Model Selection method for spectral voice conversion
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Pierre Lanchantin, Xavier Rodet
195
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SPLC
2010
15 years 4 months ago
Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements
Abstract. Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and ...
Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, ...
CIKM
2009
Springer
15 years 11 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
NLE
2011
14 years 9 months ago
Modeling reciprocity in social interactions with probabilistic latent space models
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...
Roxana Girju, Michael J. Paul