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Model Perspective

Aug 13, 2023 · Artificial Intelligence

Unlocking Hidden Markov Models: Theory, Algorithms, and Python Implementations

This article explains Hidden Markov Models, covering their core concepts, basic elements, the three fundamental problems with forward, Viterbi, and Baum‑Welch algorithms, provides a weather illustration, detailed Python code using hmmlearn, and a real‑world earthquake case study, highlighting practical implementation steps.

HMMHidden Markov ModelMachine Learning

0 likes · 15 min read

Unlocking Hidden Markov Models: Theory, Algorithms, and Python Implementations

DataFunSummit

Dec 27, 2020 · Artificial Intelligence

Sequence Labeling in Natural Language Processing: Definitions, Tag Schemes, Model Choices, and Practical Implementation

This article provides a comprehensive overview of sequence labeling tasks in NLP, covering their definition, common tag schemes (BIO, BIEO, BIESO), comparisons with other NLP tasks, major modeling approaches such as HMM, CRF, RNN and BERT, real‑world applications like POS tagging, NER, event extraction and gene analysis, and a step‑by‑step PyTorch implementation with dataset preparation, training pipeline, and evaluation metrics.

BERTCRFHMM

0 likes · 27 min read

Sequence Labeling in Natural Language Processing: Definitions, Tag Schemes, Model Choices, and Practical Implementation

Amap Tech

Jun 28, 2019 · Fundamentals

Road Matching: Definitions, Applications, and Key Algorithms

Road matching, a core subset of map‑matching theory, aligns GPS points to the correct road segments using algorithms such as distance‑based measures, Fréchet‑distance global optimization, and Hidden Markov Models, enabling accurate navigation, heterogeneous data fusion, traffic analysis, and urban planning, as validated by ACM SIGSPATIAL competitions.

Fréchet distanceGISHMM

0 likes · 11 min read

Road Matching: Definitions, Applications, and Key Algorithms

Baidu Tech Salon

Jul 29, 2014 · Artificial Intelligence

Baidu Speech Synthesis: Balancing Trade‑offs and Opening the Platform to Developers

Baidu’s speech synthesis system, developed since 2013 to give machines natural Chinese voices, tackles millions of tonal variations through phonetic compression and optimized acoustic models, balances trade‑offs in data and scalability, and offers a free open platform that lets developers integrate high‑quality text‑to‑speech into apps, advancing equal access to information.

BaiduHMMSpeech Synthesis

0 likes · 6 min read

Baidu Speech Synthesis: Balancing Trade‑offs and Opening the Platform to Developers