The pronunciation model providing the mapping from the written form of words to their pronunciations is called the text-to-phoneme (TTP) mapping. Such a mapping is commonly used in automatic speech recognition (ASR) as well as in text-to-speech (TTS) applications. Rule based TTP mappings can be derived for structured languages, such as Finnish and Japanese. Data-driven TTP mappings are usually ...

The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictive models in the medical field. But there is no published research using ML to predict SREs in cancer patients with BM. The purpose of this study wa...

This paper examines the applicability of binary decision tree (DT) classifier and ASTER data for the monitoring of wetland vegetation at plant family level (eight dominant plant families in the study area, bare soil, marshland, residential area, and waterbody) in the Banghu Lake, a seasonal lake in the Poyang Lake region. Two sets of ASTER Level-1B Registered Radiance at the Sensor products, AS...

Bayesian Model Averaging (BMA), computationally feasible using Markov Chain Monte Carlo (MCMC), is a well-known method for reliable estimation of predictive distributions. The use of decision tree (DT) models for the averaging enables experts not only to estimate a predictive posterior but also to interpret models of interest and estimate the importance of predictor factors that are assumed to ...

RESUMO Este trabalho fez uso da inteligência artificial para contribuir com evidências empíricas que auxiliem na previsão de morte por Covid-19, possibilitando a melhoria protocolos saúde utilizados em sistemas no Brasil e dotando sociedade mais ferramentas combate essa doença. Utilizaram-se dados janeiro setembro 2021 o objetivo prever tomando base quadro clínico pacientes utilizaram Sistema Ú...

This study utilized Chlorophyll-a, sea surface temperature (SST), and height (SSH) as the environmental variables to identify skipjack tuna catch hotspots. conducted statistical methods (decision tree, DT, generalized linear model, GLM) ensemble models that were employed for predicting area each time slice. Using spatial historical data, model was trained one of sets. For prediction, correlatio...

Let G = (V, E, w) be an undirected graph with nonnegative edge weight. For any spanning tree T of G, the weight of T is the total weight of its tree edges and the routing cost of T is ∑ u,v∈V dT (u, v), where dT (u, v) is the distance between u and v on T . In this paper, we present an algorithm providing a trade off among tree weight, routing cost and time complexity. For any real number α > 1...

Currently, the world is experiencing a prolonged pandemic known as Covid-19. Many prediction models of Covid-19 have been developed by governments to make right decisions control outbreak. In Indonesia, there also much research on using machine learning methods, which provide statistics predict total cases, deaths, peak and end pandemic. This paper investigates three models: Gaussian Naive Baye...

This paper proposes to model broadcast news prosody using conditional random fields (CRF) for news story segmentation. Broadcast news has both editorial prosody and speech prosody that convey essential structural information for story segmentation. Hence we extract prosodic features, including pause duration, pitch, intensity, rapidity, speaker change and music, for a sequence of boundary candi...

This paper describes a decision tree (DT) based pedometer algorithm and its implementation on Android. The DTbased pedometer can classify 3 gait patterns, including walking on level ground (WLG), up stairs (WUS) and down stairs (WDS). It can discard irrelevant motion and count user’s steps accurately. The overall classification accuracy is 89.4%. Accelerometer, gyroscope and magnetic field sens...