Výsledky vyhľadávania - "Proceedings of the ... SIAM International Conference on Data Mining"

Generalized and Heuristic-Free Feature Construction for Improved Accuracy Autor Fan, Wei, Zhong, Erheng, Peng, Jing, Verscheure, Olivier, Zhang, Kun, Ren, Jiangtao, Yan, Rong, Yang, Qiang

“…State-of-the-art learning algorithms accept data in feature vector format as input. Examples belonging to different classes may not always be easy to separate…”
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AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks Autor Shi, Yu, Gui, Huan, Zhu, Qi, Kaplan, Lance, Han, Jiawei

“…Heterogeneous information networks (HINs) are ubiquitous in real-world applications. Due to the heterogeneity in HINs, the typed edges may not fully align with…”
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Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems Autor Sun, Yiming, Yu, Runlong, Bao, Runxue, Xie, Yiqun, Ye, Ye, Jia, Xiaowei

“…Environmental ecosystems exhibit complex and evolving dynamics over time, making the modeling of non-stationary processes critically important. However,…”
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MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation Autor Zhong, Yuan, Cui, Suhan, Wang, Jiaqi, Wang, Xiaochen, Yin, Ziyi, Wang, Yaqing, Xiao, Houping, Huai, Mengdi, Wang, Ting, Ma, Fenglong

“…Health risk prediction aims to forecast the potential health risks that patients may face using their historical Electronic Health Records (EHR). Although…”
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Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions Autor Cui, Suhan, Wang, Jiaqi, Zhong, Yuan, Liu, Han, Wang, Ting, Ma, Fenglong

“…The widespread adoption of Electronic Health Record (EHR) systems in healthcare institutes has generated vast amounts of medical data, offering significant…”
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FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery Autor Pham, Thai-Hoang, Xie, Lei, Zhang, Ping

“…molecular design is a key challenge in drug discovery due to the complexity of chemical space. With the availability of molecular datasets and advances in…”
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DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages Autor He, Lifang, Kong, Xiangnan, Yu, Philip S, Ragin, Ann B, Hao, Zhifeng, Yang, Xiaowei

“…With advances in data collection technologies, tensor data is assuming increasing prominence in many applications and the problem of supervised tensor learning…”
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Harmonic Alignment Autor Stanley, 3rd, Jay S, Gigante, Scott, Wolf, Guy, Krishnaswamy, Smita

“…We propose a novel framework for combining datasets via alignment of their intrinsic geometry. This alignment can be used to fuse data originating from…”
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Active Learning of Classification Models with Likert-Scale Feedback Autor Xue, Yanbing, Hauskrecht, Milos

“…Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for…”
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Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling Autor Wu, Ke, Edwards, Andrea, Fan, Wei, Gao, Jing, Zhang, Kun

“…Data stream classification and imbalanced data learning are two important areas of data mining research. Each has been well studied to date with many…”
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Binary Classifier Calibration Using a Bayesian Non-Parametric Approach Autor Naeini, Mahdi Pakdaman, Cooper, Gregory F, Hauskrecht, Milos

“…Learning probabilistic predictive models that are well calibrated is critical for many prediction and decision-making tasks in Data mining. This paper presents…”
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Region-Based Active Learning with Hierarchical and Adaptive Region Construction Autor Luo, Zhipeng, Hauskrecht, Milos

“…Learning of classification models in practice often relies on human annotation effort in which humans assign class labels to data instances. As this process…”
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GRIA: Graphical Regularization for Integrative Analysis Autor Chang, Changgee, Oh, Jihwan, Long, Qi

“…Integrative analysis jointly analyzes multiple data sets to overcome curse of dimensionality. It can detect important but weak signals by jointly selecting…”
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Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework Autor Liu, Zitao, Hauskrecht, Milos

“…The linear dynamical system (LDS) model is arguably the most commonly used time series model for real-world engineering and financial applications due to its…”
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Discriminative Feature Selection for Uncertain Graph Classification Autor Kong, Xiangnan, Yu, Philip S, Wang, Xue, Ragin, Ann B

“…Mining discriminative features for graph data has attracted much attention in recent years due to its important role in constructing graph classifiers,…”
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CP Tensor Decomposition with Cannot-Link Intermode Constraints Autor Henderson, Jette, Malin, Bradley A, Denny, Joshua C, Kho, Abel N, Sun, Jimeng, Ghosh, Joydeep, Ho, Joyce C

“…Tensor factorization is a methodology that is applied in a variety of fields, ranging from climate modeling to medical informatics. A tensor is an -way array…”
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Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network Autor Wan, Mengting, Ouyang, Yunbo, Kaplan, Lance, Han, Jiawei

“…A number of real-world networks are heterogeneous information networks, which are composed of different types of nodes and links. Numerical prediction in…”
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Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200 Autor Papalexakis, Evangelos E, Faloutsos, Christos, Mitchell, Tom M, Talukdar, Partha Pratim, Sidiropoulos, Nicholas D, Murphy, Brian

“…How can we correlate the neural activity in the human brain as it responds to typed words, with properties of these terms (like 'edible', 'fits in hand')? In…”
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MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance Autor Shang, Jingbo, Peng, Jian, Han, Jiawei

“…Consecutive pattern mining aiming at finding sequential patterns substrings, is a special case of frequent pattern mining and has been played a crucial role in…”
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Sparse Representation for Prediction of HIV-1 Protease Drug Resistance Autor Yu, Xiaxia, Weber, Irene T, Harrison, Robert W

“…HIV rapidly evolves drug resistance in response to antiviral drugs used in AIDS therapy. Estimating the specific resistance of a given strain of HIV to…”
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