نتایج جستجو برای: multivariate adaptive regression splines mars model

تعداد نتایج: 2554484  

2006
S. M. Perl S. M. McLennan J. P. Grotzinger J. R. Johnson B. C. Clark

PLANUM, MARS . S. M. Perl, S. M. McLennan, J. P. Grotzinger, J. R. Johnson, B. C. Clark, and the Athena Science Team, Department of Geosciences, State University of New York, Stony Brook, NY 11794-2100 ([email protected]); Division of Ge ological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125; United States Geological Survey, Astrogeology Team, Flagstaff,...

2003
B. Khoshnevis George Bekey

Although automation has advanced in manufacturing, the growth of automation in construction has been slow. Conventional methods of manufacturing automation do not lend themselves to construction of large structures with internal features. This may explain the slow rate of growth in construction automation. Contour Crafting (CC) is a recent layered fabrication technology that has a great potenti...

Journal: :CoRR 2011
A. Martin V. Gayathri G. Saranya P. Gayathri V. Prasanna Venkatesan

Bankruptcy prediction is very important for all the organization since it affects the economy and rise many social problems with high costs. There are large number of techniques have been developed to predict the bankruptcy, which helps the decision makers such as investors and financial analysts. One of the bankruptcy prediction models is the hybrid model using Fuzzy C-means clustering and MAR...

Journal: :Journal of the Hellenic Veterinary Medical Society 2022

Subclinical mastitis is one of the most significant diseases that cause economic losses in dairy cattle farming. This investigation was conducted on 112 head Holstein Friesian cows order to reveal relationship between subclinical and electrical conductivity milk composition quality. In study, CMT (California Mastitis Test) CSCC (Classified Somatic Cell Count) used diagnosis were as a binary res...

2001
Dan Merfeld

INTRODUCTION Our sense of spatial orientation results from a complex set of neural processes of sensory integration; these processes utilize information from many different physiological systems. Evidence suggests that extended exposure to micro-gravity yields adaptive changes in these neural processes. For the most part, these adaptive changes appear functionally relevant for spaceflight but y...

2002
Rafael Muñoz Ruslan Mitkov Manuel Palomar Jesús Peral Cortés Richard Evans Lidia Moreno Constantin Orasan Maximiliano Saiz-Noeda Antonio Ferrández Rodríguez Catalina Barbu Patricio Martínez-Barco Armando Suárez

In this paper we present an automatic mechanism for bilingual (Spanish-English) alignment of anaphoric expressions. For this purpose, two anaphora resolution systems were used. Both are based on linguistic preferences and constraints, for Spanish (SUPPAR) and for English (MARS). These systems have been independently developed and each of them is presented individually with their evaluation resu...

2000
Andreas Dandalis Viktor K. Prasanna José D. P. Rolim

In this paper we study and compare the performance of FPGA-based implementations of the ve nal AES candidates (MARS, RC6, Rijndael, Serpent, and Two sh). FPGAs seem to match extremely well with the operations required by the nal candidates. Among the various time-space implementation tradeo s, we focused primarily on time performance. The time performance metrics are throughput and latency. Thr...

2009
Petko N. Petkov Iman S. Mossavat W. Bastiaan Kleijn

A Bayesian approach to non-intrusive quality assessment of narrow-band speech is presented. The speech features used to assess quality are the sample mean and variance of bandpowers evaluated from the temporal envelope in the channels of an auditory filter-bank. Bayesian multivariate adaptive regression splines (BMARS) is used to map features into quality ratings. The proposed combination of fe...

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