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Branch transition rate: a new metric for improved branch classification analysis

M. Haungs, P. Sallee, M. Farrens
Proceedings Sixth International Symposium on High-Performance Computer Architecture. HPCA-6 (Cat. No.PR00550)  
We propose a new metric for branch classification: branch transition rate, which is defined as the number of times a branch changes direction between taken and not taken during execution.  ...  We show that transition rate is a more appropriate indicator of branch behavior than taken rate for determining predictor performance.  ...  In this paper, we introduce a new metric for branch behavior, branch transition rate.  ... 
doi:10.1109/hpca.2000.824354 dblp:conf/hpca/HaungsSF00 fatcat:qz2vt46erre47e3k3tif7lj2qm

Autocorrelation analysis: A new and improved method for branch predictability characterization

Jian Chen, Lizy K. John
2011 2011 IEEE International Symposium on Workload Characterization (IISWC)  
over taken rate and 15.0% over transition rate for the workloads in this study.  ...  Unlike the existing taken rate or transition rate, DPI directly measures the regularity of the patterns in per-address branch history, and hence is more accurate in branch classification.  ...  Comparison with Conventional Metrics Now that we have demonstrated that DPI is a useful metric for branch classification, we compare this metric with the conventional taken rate and transition rate metrics  ... 
doi:10.1109/iiswc.2011.6114179 dblp:conf/iiswc/ChenJ11 fatcat:m4ler5jt3vfehje2n3odo5ict4

Autocorrelation analysis

Jian Chen, Lizy Kurian John
2011 Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems - SIGMETRICS '11  
This study uses autocorrelation to analyze the branch history patterns and presents a new metric Degree of Pattern Irregularity (DPI) for branch classification.  ...  Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability.  ...  CONCLUSIONS Based on the autocorrelation analysis of branch history patterns, this paper presents a new metric Degree of Pattern Irregularity (DPI) for branch predictability characterization.  ... 
doi:10.1145/1993744.1993802 dblp:conf/sigmetrics/ChenJ11 fatcat:sbkihmdn2nhbfolsirdj3g3tde

Autocorrelation analysis

Jian Chen, Lizy Kurian John
2011 Performance Evaluation Review  
This study uses autocorrelation to analyze the branch history patterns and presents a new metric Degree of Pattern Irregularity (DPI) for branch classification.  ...  Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability.  ...  CONCLUSIONS Based on the autocorrelation analysis of branch history patterns, this paper presents a new metric Degree of Pattern Irregularity (DPI) for branch predictability characterization.  ... 
doi:10.1145/2007116.2007169 fatcat:wig2vqs4ffanzh6btvncibdjvq

Applications of Codon and Rate Variation Models in Molecular Phylogeny

Eric E. Schadt, Janet S. Sinsheimer, Kenneth Lange
2002 Molecular biology and evolution  
Our companion paper in this issue discusses at length the mathematical properties of these models for nucleotide and codon substitution, for site-to-site and branch-tobranch heterogeneity in rates of evolution  ...  The current article illustrates the practical advantages of some new models and statistical algorithms for codon substitution and spatial rate variation in molecular phylogeny.  ...  The substitution of gamma-distributed branch lengths for fixed branch lengths is a crude device for modeling rate variation across sites.  ... 
doi:10.1093/oxfordjournals.molbev.a004217 pmid:12200482 fatcat:mj3q4kmgrbcuzokdlz3nuz4eqa

Difficulty Rating of Sudoku Puzzles: An Overview and Evaluation [article]

Radek Pelánek
2014 arXiv   pre-print
We also describe metrics based on analysis of solutions under relaxed constraints -- a novel approach inspired by phase transition phenomenon in the graph coloring problem.  ...  We give an overview of difficulty rating metrics and evaluate them on extensive dataset on human problem solving (more then 1700 Sudoku puzzles, hundreds of solvers).  ...  Acknowledgement The author thanks to webmasters of and portals for providing the data, JiříŠimša and Petr Jarušek for inspiring discussions, and Martin Křivánek for carrying  ... 
arXiv:1403.7373v1 fatcat:rsirx5bfmfegfdtikkglhwbheq

Characterization of blood pressure and heart rate oscillations of POTS patients via uniform phase empirical mode decomposition [article]

Justen Geddes, Jesper Mehlsen, Mette S. Olufsen
2020 arXiv   pre-print
Significance: The 0.1 Hz phase response and oscillation amplitude metrics provide new markers that can improve POTS diagnostic augmenting the existing diagnosis protocol only analyzing the change in heart  ...  rate.  ...  We use random forest machine learning to calculate the importance of each metric to the correct classification of patients but do not present a classification model for future data due to the limited number  ... 
arXiv:1910.10332v3 fatcat:fwyskrkwdrflxisbuhkslcakmm

Steganalysis of Adaptive Multi-Rate Speech Based on Extreme Gradient Boosting

Congcong Sun, Hui Tian, Chin-Chen Chang, Yewang Chen, Yiqiao Cai, Yongqian Du, Yong-Hong Chen, Chih Cheng Chen
2020 Electronics  
Steganalysis of adaptive multi-rate (AMR) speech is a hot topic for controlling cybercrimes grounded in steganography in related speech streams.  ...  Compared with the SVM-based model, this new model can facilitate the excavation of potential information from the high-dimensional features and can avoid overfitting.  ...  Acknowledgments: The authors sincerely thank the anonymous reviewers for their constructive comments that greatly improved the manuscript.  ... 
doi:10.3390/electronics9030522 fatcat:tkl2awogvnd3towjimn3o6ywm4


Mark N. Puttick, Gavin H. Thomas, Michael J. Benton
2014 Evolution  
The high evolutionary rates arose primarily from a reduction in body size, as there were no increased rates of forelimb evolution.  ...  The origin of birds (Aves) is one of the great evolutionary transitions.  ...  We also thank Chris Venditti for advice and Frances Dunn for data compilation in the Bristol Palaeontology Laboratory. All silhouettes in Figure 1 were downloaded from  ... 
doi:10.1111/evo.12363 pmid:24471891 pmcid:PMC4289940 fatcat:3ntnxkx43vbz3n5nshlcerw6f4

Estimation of Rearrangement Break Rates Across the Genome [article]

Christopher Hann-Soden, Ian Holmes, John W. Taylor
2018 bioRxiv   pre-print
We phrase this problem in graph theoretic terms and find that it is a special case of the minimum cover problem for an interval graph.  ...  We implement this method as a Python program, named BRAG, and use it to estimate the break rates in the genome of the model Ascomycete mold, Neurospora crassa.  ...  Improving the sensitivity of the break rate estimate is best achieved by adding genomes to the analysis that are distantly related to all other individuals, as deeper branches added to the tree add more  ... 
doi:10.1101/402933 fatcat:6uca34db7nbexnb3sxgttn6ede

Macroevolutionary diversification rates show time-dependency [article]

Luis Francisco Henao Diaz, Luke J. Harmon, Mauro T.C. Sugawara, Matthew W. Pennell
2018 bioRxiv   pre-print
Here we analyze a large collection of phylogenetic trees and fossil time series and report a hidden generality amongst these seemingly idiosyncratic results: speciation and extinction rates follow a scaling  ...  Such macroevolutionary rates have been estimated for thousands of groups and have been correlated with an incredible variety of organismal traits.  ...  Cusimano N, Stadler T, Renner SS (2012) A new method for handling missing species in diversification analysis applicable to randomly or nonrandomly sampled phylogenies.  ... 
doi:10.1101/396598 fatcat:muwfmwjusbcsxbnl6bn3bioela

Is this Harmful? Learning to Predict Harmfulness Ratings from Video [article]

Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak
2021 arXiv   pre-print
We find that results greatly improve by combining the visual and audio modality and that pre-training on large-scale video recognition datasets as well as class balanced sampling further improves performance  ...  Automatically identifying harmful content in video is an important task with a wide range of applications.  ...  Acknowledgments We thank Njutafilms/Studio S, and Folkets Bio for their generosity in allowing us to use their trailers.  ... 
arXiv:2106.08323v2 fatcat:a5dvbai7mzdqhfmkiaj54oonla

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

Hsiang Sing Naik, Jiaoping Zhang, Alec Lofquist, Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K. Singh, Baskar Ganapathysubramanian
2017 Plant Methods  
The best classifier is then deployed as a smartphone app for rapid and real time severity rating in the field.  ...  Phenotyping is a critical component of plant research. Accurate and precise trait collection, when integrated with genetic tools, can greatly accelerate the rate of genetic gain in crop improvement.  ...  Brian Scott, Jae Brungardt, and Jennifer Hicks for support during field experiments. Competing interests The authors declare that they have no competing interests.  ... 
doi:10.1186/s13007-017-0173-7 pmid:28405214 pmcid:PMC5385078 fatcat:pag7gtn2y5bsreu47gtbjxikwi

Techniques to Reduce the Soft Error Rate of a High-Performance Microprocessor

Christopher Weaver, Joel Emer, Shubhendu S. Mukherjee, Steven K. Reinhardt
2004 SIGARCH Computer Architecture News  
Although fault rates of individual transistors may not rise significantly, incorporating more transistors into a device makes that device more likely to encounter a fault.  ...  Hence, maintaining processor error rates at acceptable levels will require increasing design effort.  ...  Acknowledgments We would like to thank Mike Smith for inspiring the concept of false errors and Tryggve Fossum for the MITF metric, Sudhanva Gurumurthi, Geoff Lowney, and Paul Racunas for their helpful  ... 
doi:10.1145/1028176.1006723 fatcat:z4pzyz5vcrahbpxh7yk62ga7z4

Using fractal geometry and universal growth curves as diagnostics for comparing tumor vasculature and metabolic rate with healthy tissue and for predicting responses to drug therapies

Van M. Savage, Alexander B. Herman, Geoffrey B. West, Kevin Leu
2013 Discrete and continuous dynamical systems. Series B  
First, we provide a new analysis for how the mean and variation of scaling exponents for ratios of vessel radii and lengths in tumors differ from healthy tissue.  ...  In this paper, we provide a fractal analysis of existing vascular data, and we present a new mathematical framework for predicting tumor growth trajectories by coupling: (1) the fractal geometric properties  ...  We would like to thank Brian Enquist for early discussions about this work. VMS acknowledges support from UCLA start-up funds.  ... 
doi:10.3934/dcdsb.2013.18.1077 pmid:24204201 pmcid:PMC3817925 fatcat:uptvtgsu2besxglhqybid5wdyi
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