Results 81 to 90 of about 6,285,273 (279)

Mean Squared Error (MSE) dan Penggunaannya

Jurnal Pemanfaatan Teknologi untuk Masyarakat: Jurnal Pengabdian Masyarakat
Mean Squared Error (MSE) adalah metrik evaluasi yang umum digunakan dalam statistik dan machine learning untuk mengukur seberapa akurat sebuah model regresi dalam memprediksi nilai numerik. MSE menghitung selisih antara nilai prediksi model dan nilai sebenarnya dari data, kemudian mengkuadratkan selisih tersebut agar tidak ada selisih yang bernilai ...
openaire   +1 more source

Speech frame sensitivity based on mean square error criterion [PDF]

, 2011
The mean square error is time domain measure used to assess the speech quality. This objective measure can be used for discarding extra packets, only those packets may be discarded obtain the lowest MSE among all active users.
Shah, Asadullah, Shah, Zoya
core  

The Bayesian ABEL Bound on the Mean Square Error

, 2006
International audienceThis paper deals with lower bound on the Mean Square Error (MSE). In the Bayesian framework, we present a new bound which is derived from a constrained optimization problem.
Renaux, Alexandre, Renaux, A., Richmond, C., Larzabal, Pascal, Richmond, Christ, Forster, Philippe, Larzabal, P., P. Larzabal, A. Renaux, P. Forster, C. Richmond   +10 more
core   +1 more source

Minimum mean square distance estimation of a subspace [PDF]

, 2011
We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace U and its estimate U may not be ...
Jean-Yves Tourneret, Besson, Olivier, Olivier Besson, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +5 more
core   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

A Prediction System of Dengue Fever Using Monte Carlo Method

Emitter: International Journal of Engineering Technology, 2016
Dengue fever is an acute disease that clinically can cause death because there is no prediction system to estimate dengue fever cases so it resulted in the growing of dengue fever cases every year.
Mochammad Choirur Roziqin, Achmad Basuki, Tri Harsono   +2 more
doaj   +3 more sources

MODELING ADVERTISING CARRYOVER IN FLUID MILK: COMPARISON OF ALTERNATIVE LAG SPECIFICATIONS [PDF]

The performance of restricted estimators such as Almon and Shiller in modeling advertising carryover is tested and compared to the unrestricted OLS estimator, using 1971-1988 monthly New York City fluid milk market data.
Venkateswaran, Meenakshi, Kinnucan, Henry W., Chang, Hui-Shung (Christie)   +2 more
core  

A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing

Advanced Science, EarlyView.
Pek Jun Tiw and co‐workers develop a reconfigurable memristive neuron that can exhibit four spiking behaviors with freely tunable spike train parameters. The neuron supports multiplexed spike encoding of multiple pieces of information. It also supports advanced neural network strategies, such as neural heterogeneity and dynamic mode switching ...
Pek Jun Tiw, Yuqi Li, Zhongyuan Li, Qihang Ding, Yuzhe Wang, Jiarong Wang, Yuchao Yang   +6 more
wiley   +1 more source

Quantum‐Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion‐Scale

Advanced Science, EarlyView.
Quantum‐trained AI links molecular substructures to frontier‐orbital energetics and enables interpretable screening across nearly one billion GDB‐13 molecules. By combining fragment‐ and ring‐level insights with donor–acceptor energy alignment against ITIC, the framework narrows an immense chemical space to a small set of promising candidates and ...
Yeongnam Ko, Se Jin Kim, Ki Chul Kim
wiley   +1 more source

Estimates of the mean square error associated with R₀ estimates.

, 2022
Table A: Estimates of the mean square error associated with R0 estimates. Column 2 shows the mean square error of R0, as calculated using the default approach against R0 calculated using study-specific seroprevalence data.
Emilia Vynnycky (565037), Timos Papadopoulos (12191181)   +1 more
core   +1 more source