Browsing School of Electronic Engineering and Computer Science by Author "Guo, Z"
Now showing items 1-11 of 11
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Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets.
Guo, Z; Constantinou, AC (MDPI AG, 2020-10-10) -
DMRN+17: Digital Music Research Network One-day Workshop 2022
Miller, J; Lewis, D; Guo, Z; Li, Y; Ma, Y; Vahidi, C; Boon, H; Wolstanholme, L; Gil Panal, JM; Hayes, B (Centre for Digital Music - C4DM, 2022-12-20)DMRN+17: Digital Music Research Network One-day Workshop 2022 Queen Mary University of London - Tuesday 20th December 2022. The Digital Music Research Network (DMRN) aims to promote research in the area of Digital Music, ... -
Effective and efficient structure learning with pruning and model averaging strategies
Constantinou, AC; Liu, Y; Kitson, NK; Chobtham, K; Guo, Z (2022) -
EXPLORING TRANSFORMER'S POTENTIAL ON AUTOMATIC PIANO TRANSCRIPTION
Ou, L; Guo, Z; Benetos, E; Han, J; Wang, Y (2022) -
GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model
Riley, J; Guo, Z; EDWARDS, D; DIXON, S; ISMIR (2024-11-10)We introduce GAPS (Guitar-Aligned Performance Scores), a new dataset of classical guitar performances, and a benchmark guitar transcription model that achieves state-of-the-art performance on GuitarSet in both supervised ... -
The impact of prior knowledge on causal structure learning
Constantinou, AC; Guo, Z; Kitson, NK (2023) -
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
Liu, Y; Constantinou, AC; Guo, Z -
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
Liu, Y; Constantinou, AC; Guo, Z (JMLR, 2022)Structure learning algorithms that learn the graph of a Bayesian network from observational data often do so by assuming the data correctly reflect the true distribution of the variables. However, this assumption does not ... -
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.
Constantinou, AC; Liu, Y; Chobtham, K; Guo, Z; Kitson, NK (Elsevier, 2021-01)Numerous Bayesian Network (BN) structure learning algorithms have been proposed in the literature over the past few decades. Each publication makes an empirical or theoretical case for the algorithm proposed in that ... -
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.
Constantinou, AC; Liu, Y; Chobtham, K; Guo, Z; Kitson, NK (2021) -
A survey of Bayesian Network structure learning
Kitson, NK; Constantinou, ACC; Guo, Z; Liu, Y; Chobtham, K (2023)