Tiina Lindh-Knuutila

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In time series prediction, one does often not know the properties of the underlying system generating the time series. For example, is it a closed system that is generating the time series or are there any external factors influencing the system? As a result of this, you often do not know beforehand whether a time series is stationary or nonstationary, and(More)
In this article, we study the emergence of associations between words and concepts using the self-organizing map. In particular, we explore the meaning negotiations among communicating agents. The self-organizing map is used as a model of an agent's conceptual memory. The concepts are not explicitly given but they are learned by the agent in an unsupervised(More)
In this article, we are studying the differences between the European Union languages using statistical and unsupervised methods. The analysis is conducted in the different levels of language: the lexical, morphological and syntactic. Our premise is that the difficulty of the translation could be perceived as differences or similarities in different levels(More)
Aalto-yliopiston teknillinen korkeakoulu Informaatio-ja luonnontieteiden tiedekunta Tietojenkä sittelytieteen laitos Distribution: ABSTRACT: In this article, we introduce a method to make visible the differences among people regarding how they conceptualize the world. The Grounded Intersubjective Concept Analysis (GICA) method first employs a conceptual(More)
This paper reports the first results on extracting a meaningful representation for words from multilingual parallel corpora. Independent component analysis is used to extract a number of components from statistics calculated for words in contexts. Individual components are meaningful and multilingual and words are represented as a bag of concepts model. The(More)
In this article, we consider contemporary theories of concepts, and Bayesian and self-organizing models of concept formation. After introducing the different models, we present our own experiment. It utilizes a multi-agent simulation framework, in which the emergence of a common vocabulary can be studied. In the experiment, we use jointly the(More)