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Chapter and Conference Paper
Interactive visualisation for predictive modelling with decision tree induction
In this paper we describe system CABRO for decision tree induction (DTI) that contributes to the combination of machine learning, visualisation and model selection techniques. We first discuss some issues in d...
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Chapter and Conference Paper
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods
Many methods of knowledge discovery and data mining are distance-based such as nearest neighbor classification or clustering where similarity measures between objects play an essential role. While real-world d...
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Chapter and Conference Paper
A User-Centered Visual Approach to Data Mining
We present a human-centered approach to model selection in machine learning and data mining that emphasizes and facilitates the active participation of the user in the knowledge discovery process with quantita...
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Chapter and Conference Paper
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. Solutions to the problem gene...
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Chapter and Conference Paper
Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data
Protein-protein interactions play an important role in many fundamental biological processes. Computational approaches for predicting protein-protein interactions are essential to infer the functions of unknow...
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Article
Open AccessFinding microRNA regulatory modules in human genome using rule induction
MicroRNAs (miRNAs) are a class of small non-coding RNA molecules (20–24 nt), which are believed to participate in repression of gene expression. They play important roles in several biological processes (e.g. ...
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Article
Open AccessCharacterizing nucleosome dynamics from genomic and epigenetic information using rule induction learning
Eukaryotic genomes are packaged into chromatin, a compact structure containing fundamental repeating units, the nucleosomes. The mobility of nucleosomes plays important roles in many DNA-related processes by r...
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Article
Open AccessSequence-dependent histone variant positioning signatures
Nucleosome, the fundamental unit of chromatin, is formed by wrap** nearly 147bp of DNA around an octamer of histone proteins. This histone core has many variants that are different from each other by their b...
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Chapter and Conference Paper
Fully Sparse Topic Models
In this paper, we propose Fully Sparse Topic Model (FSTM) for modeling large collections of documents. Three key properties of the model are: (1) the inference algorithm converges in linear time, (2) learning ...
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Article
Advances in information and knowledge systems
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Article
Open AccessA nucleosomal approach to inferring causal relationships of histone modifications
Histone proteins are subject to various posttranslational modifications (PTMs). Elucidating their functional relationships is crucial toward understanding many biological processes. Bayesian network (BN)-based...
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Article
Open AccessA semi–supervised tensor regression model for siRNA efficacy prediction
Short interfering RNAs (siRNAs) can knockdown target genes and thus have an immense impact on biology and pharmacy research. The key question of which siRNAs have high knockdown ability in siRNA research remai...
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Article
Introduction: special issue of selected papers of ACML 2013
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Article
Introduction: special issue of selected papers from ACML 2014
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Article
Accelerated anti-lopsided algorithm for nonnegative least squares
Nonnegative least squares (NNLS) problem has been widely used in scientific computation and data modeling, especially for low-rank representation such as nonnegative matrix and tensor factorization. When appli...
