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{H} \right| ^2 - \frac{1}{2} M_5 \ \hat{\lambda }^A \hat{\lambda }^A \nonumber \\&- \left[ m^2_{\Sigma } \ \mathrm {Tr}\left( \Sigma ^\dagger \Sigma \right) + b_\Sigma \ {{\,\mathrm{Tr}\,}}{\Sigma }^2 + \frac{1}{6} a' \ {{\,\mathrm{Tr}\,}}...
act = nn.Softplus(beta=-1.0) # 初始化lambda参数,使用均匀分布 self.lambd = nn.Parameter(nn.init.uniform_(torch.empty(1, device=device, dtype=dtype))) # 初始化kappa参数,使用均匀分布 self.kappa = nn.Parameter(nn.init.uniform_(torch.empty(1, device=device, dtype=dtype))) def forward(...
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This iterative approach allows the model to focus progressively on the hardest-to-predict data points, enhancing overall performance. XGBoost, an optimized version of gradient boosting, is also utilized for its overall computational efficiency and improved accuracy. XGBoost incorporates both first and ...
One may notice in Table 2 that both muon and electron best-fit points are of similar size, in contrast to the situation in Ref. [50]. Table 2 Experimental update only. Most prominent 2D patterns of NP in b\rightarrow s\mu ^+\mu ^-. The last five rows correspond to Hypothesis 1:...
(), } fname = save_path + '//' + 'elasticPlate_Rectangular_pde' axis_z = np.zeros(x_pred.shape[0], dtype='float32') pointsToVTK( fname, x_pred[:, 0].copy(), x_pred[:, 1].copy(), axis_z, data=data ) # print("savePDEresult(): vtu file-path ", fname) else: #...
time_points = self.data['time'].unique() self.t = self.time_points[self.t_count] # 现在时间 self.t_len = len(self.time_points) # 最后时间 # 特征 self.char = [ 'open', 'high', 'low', 'close', 'volume', 'money', 'pct_change', 'vwap', 'market_cap', 'pe_ratio', '...
89465-12880 New Lambda Probe Oxygen O2 Sensor Fit for Toyota COROLLA SED 2006-2014 Auris 2007-2012 1.6L NO# 89465-02310 DOX-0542 Product sellpoints Advanced Sensor Technology:Equipped with a Piezoelectric sensor for accurate and reliable oxygen monitoring....
none,'points':None, } return parprop def flyc_nofly_zone_get(po, fwmdlfile, index): """ Returns array with properties of given no fly zone. """ parprop = flyc_nofly_zone_template(po) enfzone = FlycNoFlyZone() fwmdlfile.seek(po.nfzone_pos + sizeof(enfzone) * ...