Sentence examples for probabilistic matrix from inspiring English sources

Shan, H. et al. Gap filling in the plant kingdom – trait prediction using hierarchical probabilistic matrix factorization.

Despite its high prediction accuracy and its ability to avoid over-fitting of the data, the Bayesian Probabilistic Matrix Factorization algorithm (BPMF) has not been widely used on large scale data because of the prohibitive cost.

Based on the framework, we propose three solutions by specifying three state-of-the-art collaborative filtering methods, namely Maximum-Margin Matrix Factorization, Regularized Low-rank Matrix Factorization, and Probabilistic Matrix Factorization.

Macau is a machine learning technique based on Bayesian probabilistic matrix factorization (BPMF) [21].

In[19], the authors present a probabilistic matrix factorization approach for the recommender system.

Probabilistic matrix factorization expands the scope of this technique to incomplete matrices, allowing it to predict empty values in the matrix.

We also tested the eGFP variants generated using the control and high expression table rather than a probabilistic matrix-based design.

For example, the probabilistic sparse matrix factorization approach uses the 'sparse' constraint in the matrix decomposition to provide a combinatorial account of the gene expression in terms of a small set of factors.

The functionality and correctness of our design is confirmed using high-level synthesis, which is followed by delineating its normal and faulty behavior using a Probabilistic Transfer Matrix (PTM) method.

In this paper, we focus on the probabilistic transfer matrix (PTM), which has proven to be a gate-level approach for accurately assess the reliability of a combinational circuit with penalty in simulation runtime and memory usage.

P(·|·,a) defines a probabilistic transition matrix where each row represents a state s, each column represents a state s ′ and an entry (s,s ′) has the probability P(s ′|s,a).