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This paper presents analysis of the recently proposed modulated Hebb-Oja (MHO) method that performs linear mapping to a lower-dimensional subspace. Principal component subspace is the method that will be analyzed. Comparing to some other well-known methods for yielding principal component subspace (e.g., Oja's Subspace Learning Algorithm), the proposed(More)
Principal Component Analysis (PCA) and Principal Subspace Analysis (PSA) are classic techniques in statistical data analysis, feature extraction and data compression. Given a set of multivariate measurements, PCA and PSA provide a smaller set of "basis vectors" with less redundancy, and a subspace spanned by them, respectively. Artificial neurons and neural(More)
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case: Symmetric Nonnegative Matrix Factorization (SNMF) that have many potential applications, including multi-way clustering, feature extraction, multi-sensory or multi-dimensional(More)
This paper presents one possible implementation of a transformation that performs linear mapping to a lower-dimensional subspace. Principal component subspace will be the one that will be analyzed. Idea implemented in this paper represents generalization of the recently proposed infinity OH neural method for principal component extraction. The calculations(More)
Observing information systems projects shows that Information Systems Engineering (ISE) methods are underused. The iAMF project aims at (a) tracing stakeholders' activities to identify whether this statement is true and (b) proposing more efficient ISE methods. To trace stakeholders' activities, we need a tool able to record any computerized actions-as(More)
The paper addresses the problem of the low usage of software development methods in software development practice. This has been recognized as one of the key reasons for failures in software development projects and a contributor to the low quality of software. We introduce a novel approach that could help to improve the maturity of software development(More)
Software development process is like any other business process composed of activities carried out by process participants in order to achieve a certain goal. In contrast to a typical business process that is relatively deterministic and thus repeatable, software processes are much more dynamic in nature and dependent on a number of circumstances. This(More)
Information Extraction is a process of extracting stru-ctured data from unstructured sources. It roughly consists of tasks like entity extraction, relation extraction and coreference resolution. Most of the current research focuses only on one of the tasks or their combination in a pipeline. In this paper we introduce an end-to-end iterative information(More)