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» A Framework for Multiple-Instance Learning
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TFS
2008
123views more  TFS 2008»
13 years 10 months ago
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
JAIR
2007
159views more  JAIR 2007»
13 years 10 months ago
Combination Strategies for Semantic Role Labeling
This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model...
Mihai Surdeanu, Lluís Màrquez, Xavie...
JCP
2007
100views more  JCP 2007»
13 years 10 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...
TOG
2008
84views more  TOG 2008»
13 years 10 months ago
Fast image/video upsampling
We propose a simple but effective upsampling method for automatically enhancing the image/video resolution, while preserving the essential structural information. The main advanta...
Qi Shan, Zhaorong Li, Jiaya Jia, Chi-Keung Tang
CCE
2005
13 years 10 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis