Reducing wire delay penalty through value prediction

2002 ◽  
Author(s):  
J.-M. Parcerisa ◽  
A. Gonzalez
Keyword(s):  
Value Prediction ◽  
Wire Delay

Energy Saving of Value Prediction by Expanding Branch Target Buffer

2012 ◽  
Vol 132 (10) ◽  
pp. 1706-1718
Author(s):  
Yoshio Shimomura ◽  
Ryotaro Kobayashi
Keyword(s):  
Energy Saving ◽  
Value Prediction ◽  
Branch Target Buffer

Customer lifetime value prediction for gaming industry: fuzzy clustering based approach

2021 ◽  
pp. 1-10
Author(s):  
Ahmet Tezcan Tekin ◽  
Tolga Kaya ◽  
Ferhan Cebi
Keyword(s):  
Machine Learning ◽  
Fuzzy Clustering ◽  
Customer Lifetime Value ◽  
Gaming Industry ◽  
Value Prediction ◽  
Customer Lifetime ◽  
Lifetime Value ◽  
Membership Value ◽  
Different Characteristics ◽  
Ensemble Algorithms

The use of fuzzy logic in machine learning is becoming widespread. In machine learning problems, the data, which have different characteristics, are trained and predicted together. Training the model consisting of data with different characteristics can increase the rate of error in prediction. In this study, we suggest a new approach to assembling prediction with fuzzy clustering. Our approach aims to cluster the data according to their fuzzy membership value and model it with similar characteristics. This approach allows for efficient clustering of objects with more than one cluster characteristic. On the other hand, our approach will enable us to combine boosting type ensemble algorithms, which are various forms of assemblies that are widely used in machine learning due to their excellent success in the literature. We used a mobile game’s customers’ marketing and gameplay data for predicting their customer lifetime value for testing our approach. Customer lifetime value prediction for users is crucial for determining the marketing cost cap for companies. The findings reveal that using a fuzzy method to ensemble the algorithms outperforms implementing the algorithms individually.

scholarly journals Players’ Value Prediction Based on Machine Learning Method

2021 ◽  
Vol 1865 (4) ◽  
pp. 042016
Author(s):  
Daokang Zhang ◽  
Caixin Kang
Keyword(s):  
Machine Learning ◽  
Machine Learning Method ◽  
Learning Method ◽  
Value Prediction

Community Value Prediction in Social E-commerce

2021 ◽  
Author(s):  
Guozhen Zhang ◽  
Yong Li ◽  
Yuan Yuan ◽  
Fengli Xu ◽  
Hancheng Cao ◽  
...  
Keyword(s):  
Value Prediction

Application of state-space model with skew-t measurement noise to blood test value prediction

2021 ◽  
Author(s):  
Takanori Hasegawa ◽  
Rui Yamaguchi ◽  
Masanori Kakuta ◽  
Masataka Ando ◽  
Jung Songee ◽  
...  
Keyword(s):  
State Space ◽  
Blood Test ◽  
State Space Model ◽  
Measurement Noise ◽  
Value Prediction ◽  
Space Model

scholarly journals Thread partitioning and value prediction for exploiting speculative thread-level parallelism

2004 ◽  
Vol 53 (2) ◽  
pp. 114-125 ◽  
Author(s):  
P. Marcuello ◽  
A. Gonzalez ◽  
J. Tubella
Keyword(s):  
Value Prediction ◽  
Thread Level Parallelism ◽  
Thread Partitioning ◽  
Level Parallelism

Nonuniform cache architectures for wire-delay dominated on-chip caches

IEEE Micro ◽  
2003 ◽  
Vol 23 (6) ◽  
pp. 99-107 ◽  
Author(s):  
Changkyu Kim ◽  
D. Burger ◽  
S.W. Keckler
Keyword(s):  
Wire Delay ◽  
On Chip
Sign in / Sign up

Export Citation Format

Share Document