Abstract: Profile Hidden Markov Models are used as a popular tool in bioinformatics research and a regular task is to compare a set of protein sequences with a database of models according to ...
mamba_hmm_sac_trading/ ├── config/ │ └── config.yaml # Hyperparameters & settings ├── data/ │ ├── raw/ # Raw HDFCBANK.NS data │ ├── processed/ # Preprocessed features │ └── market_data.py # Data ...
A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...
Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...
Modern C++17 Hidden Markov Model library with smart pointer memory management, comprehensive training algorithms, and critical bug fixes. Features Viterbi training, multiple probability distributions, ...
Researchers are trying to come up with new, better ways to test AI. As a tech reporter I often get asked questions like “Is DeepSeek actually better than ChatGPT?” or “Is the Anthropic model any good?
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