Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. T his task is difficult because written d escriptions often do…

We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this paper we show that regularization networks encompass a much…

A key problem in model-based object recognition is selection, namely, the problem of isolating regions in an image that are likely to come from a single object. This isolation can be either based solely on image data (data-driven) or can…

, Discrete determinable Processes-Compact Knowledge-Bases model.Discrete deterministic controlled Processes-Algebraic logical model., Dyduch, Ewa Dudek, 14 págs., Nivel analítico, semestral

Customer power is growing, and customers now have tools that inform them of the true state of affairs. This power enables them to avoid the pushy messages of marketers, make their own decisions, and determine what to buy. A company…

(cont.) algorithm to identify the regulatory models from protein-DNA binding and gene expression data. These models to a large extent agree with the knowledge of gene regulation pertaining to the corresponding regulators. The three works in this thesis provide a…

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