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Tag: hybrid

  • Hybrid least squares for learning functions from highly noisy data

    Hybrid least squares for learning functions from highly noisy data arXiv:2507.02215v1 Announce Type: new Abstract: Motivated by the need for efficient estimation of conditional expectations, we consider a least-squares function approximation problem with heavily polluted data. Existing methods that are powerful in the small noise regime are suboptimal when large noise is present. We propose…

  • Advanced posterior analyses of hidden Markov models: finite Markov chain imbedding and hybrid decoding

    Advanced posterior analyses of hidden Markov models: finite Markov chain imbedding and hybrid decoding arXiv:2504.15156v1 Announce Type: new Abstract: Two major tasks in applications of hidden Markov models are to (i) compute distributions of summary statistics of the hidden state sequence, and (ii) decode the hidden state sequence. We describe finite Markov chain imbedding (FMCI)…

  • RAG: Hybrid Search Based on Two Indexes

    RAG: Hybrid Search Based on Two Indexes The proposition I will be talking about in this article is something I already have implemented and I am currently testing in a personal… Continue reading on Towards Data Science » Jérôme DIAZ Go to original source