Search Results - "Computing methodologies Machine learning Machine learning approaches Factorization methods"

An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing by Nunes, Igor, Heddes, Mike, Givargis, Tony, Nicolau, Alexandru

“…Hyperdimensional Computing (HDC) is a computation framework based on random vector spaces, particularly useful for machine learning in resource-constrained…”
Get full text

SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs by Zhao, Jianqi, Wen, Yao, Luo, Yuchen, Jin, Zhou, Liu, Weifeng, Zhou, Zhenya

“…Sparse LU factorization is one of the key building blocks of sparse direct solvers and often dominates the computing time of circuit simulation programs…”
Get full text

Predicting accurate and actionable static analysis warnings: an experimental approach by Ruthruff, Joseph R, Penix, John, Morgenthaler, J David, Elbaum, Sebastian, Rothermel, Gregg

“…Static analysis tools report software defects that may or may not be detected by other verification methods. Two challenges complicating the adoption of these…”
Get full text

A history-based test prioritization technique for regression testing in resource constrained environments by Kim, Jung-Min, Porter, Adam

“…Regression testing is an expensive and frequently executed maintenance process used to revalidate modified software. To improve it, regression test selection…”
Get full text

Federated Tensor Factorization for Computational Phenotyping by Kim, Yejin, Sun, Jimeng, Yu, Hwanjo, Jiang, Xiaoqian

“…Tensor factorization models offer an effective approach to convert massive electronic health records into meaningful clinical concepts (phenotypes) for data…”
Get more information

A replicated assessment and comparison of common software cost modeling techniques by Briand, Lionel C., Langley, Tristen, Wieczorek, Isabella

“…Delivering a software product on time, within budget, and to an agreed level of quality is a critical concern for many software organizations. Underestimating…”
Get full text

ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs (Invited Paper) by Niu, Dan, Tao, Yiyang, Jin, Zhou, Dong, Yichao, Wang, Chao, Sun, Changyin

“…Sparse LU factorization is a vital technique in solving circuit linear equations, However, irregular data access patterns contribute to unsatisfactory…”
Get full text

Spatial correlation modeling for probe test cost reduction in RF devices by Kupp, Nathan, Huang, Ke, Carulli, John M., Makris, Yiorgos

“…Test cost reduction for RF devices has been an ongoing topic of interest to the semiconductor manufacturing industry. Automated test equipment designed to…”
Get full text

Analysis and RTL correlation of instruction set simulators for automotive microcontroller robustness verification by Espinosa, Jaime, Hernandez, Carles, Abella, Jaume, de Andres, David, Ruiz, Juan Carlos

“…Increasingly complex microcontroller designs for safety-relevant automotive systems require the adoption of new methods and tools to enable a cost-effective…”
Get full text

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values by Yin, Kejing, Afshar, Ardavan, Ho, Joyce C, Cheung, William K, Zhang, Chao, Sun, Jimeng

“…Binary data with one-class missing values are ubiquitous in real-world applications. They can be represented by irregular tensors with varying sizes in one…”
Get more information

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis by Ma, Jing, Zhang, Qiuchen, Lou, Jian, Ho, Joyce C, Xiong, Li, Jiang, Xiaoqian

“…Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted…”
Get more information

Inference for Ever-Changing Policy of Taint Analysis by Chiang, Wen-Hao, Li, Peixuan, Zhou, Qiang, Banerjee, Subarno, Schaef, Martin, Lyu, Yingjun, Nguyen, Hoan, Tripp, Omer

“…Identifying correct and complete taint specifications is critical for detecting vulnerabilities in the ever-changing landscape of software security, and an…”
Get full text

An empirical study of regression test application frequency by Kim, Jung-Min, Porter, Adam, Rothermel, Gregg

“…Regression testing is an expensive maintenance process used to revalidate modified software. Regression test selection (RTS) techniques try to lower the cost…”
Get full text

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping by Perros, Ioakeim, Papalexakis, Evangelos E, Park, Haesun, Vuduc, Richard, Yan, Xiaowei, Defilippi, Christopher, Stewart, Walter F, Sun, Jimeng

“…This paper presents a new method, which we call SUSTain, that extends real-valued matrix and tensor factorizations to data where values are integers. Such data…”
Get more information

Identifying Traits of Leaders in Movement Initiation by Amornbunchornvej, Chainarong, Crofoot, Margaret C., Berger-Wolf, Tanya Y.

“…How do leaders lead? Are individuals with influence always at the front of their group? Do they initiate travel in new directions or are they first to start…”
Get full text

Topic Detection of Online Book Reviews: Preliminary Results by Choi, Yunseon, Joo, Soohyung

“…This study is part of a larger research project which aims to investigate whether online reviews on children's books would represent significant factors which…”
Get full text

Target Gene Prediction of Transcription Factor Using a New Neighborhood-regularized Tri-factorization One-class Collaborative Filtering Algorithm by Lim, Hansaim, Xie, Lei

“…Identifying the target genes of transcription factors (TFs) is one of the key factors to understand transcriptional regulation. However, our understanding of…”
Get more information

Distributed regression: an efficient framework for modeling sensor network data by Guestrin, Carlos, Bodik, Peter, Thibaux, Romain, Paskin, Mark, Madden, Samuel

“…We present distributed regression, an efficient and general framework for in-network modeling of sensor data. In this framework, the nodes of the sensor…”
Get full text

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors by Wang, Yida, Anderson, Michael J., Cohen, Jonathan D., Heinecke, Alexander, Li, Kai, Satish, Nadathur, Sundaram, Narayanan, Turk-Browne, Nicholas B., Willke, Theodore L.

“…Full correlation matrix analysis (FCMA) is an unbiased approach for exhaustively studying interactions among brain regions in functional magnetic resonance…”
Get full text

Service topic model with probability distance by Lei, Yu, Yu, Philip S.

“…The number of Web services are growing rapidly on the Internet. Topics of services are becoming various. Semantic-based keyword search is used to retrieve…”
Get full text