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In this section we provide technical articles, whitepapers and links to
further resources. We also provide links to the full publications and relevant
web sites
| Published Papers |
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A First Application of Independent Component Analysis
to Extracting Structure from Stock Returns
Andrew D. Back and Andreas S. Weigend |
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Input Variable Selection Using Independent Component Analysis and Higher Order Statistics
Andrew D. Back, Andrzej Cichocki and Thomas P. Trappenberg |
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Input Variable Selection Using Independent Component Analysis (PDF)
Andrew D. Back and Thomas P. Trappenberg |
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Classification Using Support Vector Machines
Andrew D. Back |
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For more papers,
please refer to the web site below. |
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| Web Sites |
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Dr.
Andrew D. Back
Dr Andrew Back, the founder of Windale Technologies, has an extensive background in machine learning,
AI, and signal processing. He is developing a groundbreaking
paradigm for AI based on the concept of emergent, beyond-human, synthetic languages.
This approach demonstrates significant potential for social awareness
and understanding the meaning of systems with implications for security,
intelligence, trust, and AI comprehension by rapidly classifying sequential
behaviors with minimal data. He has held research fellowships in Australia, the USA, and Japan.
Dr. Back has made significant contributions to industry,
providing software to international banks and companies operating on the NYSE and CBOE. Dr. Back (h-index 24, 7200 citations)
has published in numerous journals and authored several book chapters on machine learning and AI. |
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