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predictive analytics, machine learning, data mining, support vector machines, stock market prediction
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Works (17)

Improved Update Rule and Sampling of Stochastic Gradient Descent with Extreme Early Stopping for Support Vector Machines

2022 | Book chapter
Contributors: Marcin Orchel; Johan A. K. Suykens
Source: check_circle
Crossref

Fast Hyperparameter Tuning for Support Vector Machines with Stochastic Gradient Descent

2020 | Book chapter
Contributors: Marcin Orchel; Johan A. K. Suykens
Source: check_circle
Crossref
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Preferred source (of 2)‎

Axiomatic Kernels on Graphs for Support Vector Machines

2019 | Book chapter
Contributors: Marcin Orchel; Johan A. K. Suykens
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Knowledge-Uncertainty Axiomatized Framework with Support Vector Machines for Sparse Hyperparameter Optimization

Proceedings of the International Joint Conference on Neural Networks
2018 | Conference paper
EID:

2-s2.0-85056545386

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Clustering by support vector manifold learning

Proceedings of the International Joint Conference on Neural Networks
2017 | Conference paper
EID:

2-s2.0-85030995717

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Balanced support vector regression

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2015 | Conference paper
EID:

2-s2.0-84958541394

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Solving classification problems by knowledge sets

Neurocomputing
2015 | Journal article
EID:

2-s2.0-84922562001

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Incorporating Prior Knowledge into SVM Algorithms in Analysis of Multidimensional Data

2013 | Dissertation or Thesis
DOI:

10.13140/RG.2.1.5004.9441

Source: Self-asserted source
Marcin Orchel

Support vector regression based on data shifting

2012 | Journal article
DOI:

10.1016/j.neucom.2011.10.039

EID:

2-s2.0-84864391997

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Incorporating a priori knowledge from detractor points into support vector classification

2011 | Book
DOI:

10.1007/978-3-642-20267-4_35

EID:

2-s2.0-79955081069

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Regression based on support vector classification

2011 | Book
DOI:

10.1007/978-3-642-20267-4_37

EID:

2-s2.0-79955110634

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Support vector regression as a classification problem with a priori knowledge in the form of detractors

2011 | Book
DOI:

10.1007/978-3-642-23169-8_38

EID:

2-s2.0-80052951323

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Support vector regression with a priori knowledge used in order execution strategies based on VWAP

2011 | Book
DOI:

10.1007/978-3-642-25856-5_24

EID:

2-s2.0-84255173542

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Incorporating Detractors into SVM Classification

Man-Machine Interactions
2009 | Book chapter
DOI:

10.1007/978-3-642-00563-3_38

Part of ISBN:

978-3-642-00562-6

Source: Self-asserted source
Marcin Orchel

Support vector machines: Heuristic of alternatives

2008 | Conference paper
DOI:

10.1117/12.784837

EID:

2-s2.0-43249109808

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Support Vector Machines: Sequential Multidimensional Subsolver (SMS)

2007 | Conference paper
DOI:

10.1109/SPA.2007.5903314

EID:

2-s2.0-79955089632

Contributors: Orchel, M.
Source: Self-asserted source
Marcin Orchel via Scopus - Elsevier

Klasyfikacja danych wielowymiarowych algorytmami SVM

2005 | Supervised student publication
DOI:

10.13140/2.1.3908.2249

Source: Self-asserted source
Marcin Orchel