標題: Titlebook: Housing Markets and Household Behavior in Japan; Miki Seko Book 2019 Springer Nature Singapore Pte Ltd. 2019 Residential mobility.Housing [打印本頁] 作者: Stenosis 時間: 2025-3-21 18:42
書目名稱Housing Markets and Household Behavior in Japan影響因子(影響力)
書目名稱Housing Markets and Household Behavior in Japan影響因子(影響力)學科排名
書目名稱Housing Markets and Household Behavior in Japan網(wǎng)絡公開度
書目名稱Housing Markets and Household Behavior in Japan網(wǎng)絡公開度學科排名
書目名稱Housing Markets and Household Behavior in Japan被引頻次
書目名稱Housing Markets and Household Behavior in Japan被引頻次學科排名
書目名稱Housing Markets and Household Behavior in Japan年度引用
書目名稱Housing Markets and Household Behavior in Japan年度引用學科排名
書目名稱Housing Markets and Household Behavior in Japan讀者反饋
書目名稱Housing Markets and Household Behavior in Japan讀者反饋學科排名
作者: 割讓 時間: 2025-3-21 23:09 作者: euphoria 時間: 2025-3-22 01:17 作者: hegemony 時間: 2025-3-22 06:20 作者: INERT 時間: 2025-3-22 11:02 作者: Detain 時間: 2025-3-22 13:36
Housing Market Imperfections and Distortions Resulting from Criteria Based on House Floor Spaceess burden per household of approximately 9% of the average GHLC credit subsidy of a home. That is, existing housing finance that adopts criteria based on the floor space of houses creates incentives for people to live in even smaller houses.作者: 吞沒 時間: 2025-3-22 20:29
The Term Premium of Cancellable Lease Rates but U-shaped when the lessor faces moderate leasing costs. Residential leases in Japan, which are all cancellable by tenants, exhibit a term structure consistent with our calibrated model. This result provides a new insight into the lessor’s optimal choice of rents and the equilibrium rent term premium.作者: entitle 時間: 2025-3-22 22:18
Conclusion: Policy Implications and Future Researchpter describes future research topics from three points of view: (i) Designing a Housing Finance System, (ii) Liquidity and Provision in the Rental Housing Market, (iii) Earthquake Risk and Disaster Prevention Polies.作者: 明確 時間: 2025-3-23 03:53 作者: 謙虛的人 時間: 2025-3-23 06:45
Miki Sekont (.). The values obtained for these three quality-control parameters appear congruent, with the exception of MRE, regardless of the training set used (. vs. .). ALM performance was measured also by the time required to attain the desirable outcomes: five depth levels of investigation took a little作者: candle 時間: 2025-3-23 13:20 作者: 敲竹杠 時間: 2025-3-23 16:59 作者: Debark 時間: 2025-3-23 19:53 作者: 友好 時間: 2025-3-24 00:49 作者: DIKE 時間: 2025-3-24 04:27 作者: 評論者 時間: 2025-3-24 10:03 作者: META 時間: 2025-3-24 14:46
Miki Sekoistributions using Langevin dynamics in the VSA vector space, and demonstrate competitive sampling performance in a spiking-neural network implementation. Surprisingly, while the Langevin dynamics are not constrained to the manifold defined by the HRR encoding, the generated samples contain sufficie作者: Insubordinate 時間: 2025-3-24 15:10 作者: gain631 時間: 2025-3-24 22:46
odel which uses a Graph Convolutional Network (GCN) to predict data projections on GTM, solely based on the information about the reaction and BB sets used for the library preparation. Ten DNA-Encoded Combinatorial Libraries (DELs), each containing one million compounds, were used to train and evalu作者: 排他 時間: 2025-3-25 01:34 作者: hangdog 時間: 2025-3-25 06:41 作者: Herd-Immunity 時間: 2025-3-25 11:06 作者: Infirm 時間: 2025-3-25 12:06 作者: 填滿 時間: 2025-3-25 16:24
Miki Seko improvements over several leading methods under both 1-shot and 5-shot settings. Furthermore, we remove thoroughly the support set and apply the AUGNet under zero-shot setting. Experimental results illustrate its equal effectiveness under this extended segmentation task.作者: adj憂郁的 時間: 2025-3-25 21:47
Miki Sekos. The SADF employs knowledge distillation, featuring a teacher model enhanced by additional relevant queries and a student model that learns from the teacher using a single query through distillation loss. By integrating MGFNet backbone and SADF framework, our AENet achieves improved cross-modal al作者: 加強防衛(wèi) 時間: 2025-3-26 03:00 作者: Favorable 時間: 2025-3-26 06:45
Miki Seko evaluate the proposed model on various benchmark datasets and compared?our results with several baseline graph neural network methods. CTQW-GraphSAGE achieves comparable results to the classical models on most of the selected datasets on node classification tasks.作者: enlist 時間: 2025-3-26 10:37 作者: Charade 時間: 2025-3-26 14:20 作者: 消耗 時間: 2025-3-26 18:40 作者: 冥界三河 時間: 2025-3-27 00:52
House-Price Dynamics and Effects on the Macro Economyaints and negative income shocks significantly deter own-to-own residential moves for positive equity households even in recent financial-easing periods. In the latter part of this chapter, we use Japanese prefectural-level data to analyze the relationship between borrowing patterns and house price 作者: 反叛者 時間: 2025-3-27 01:52
Effects of Systems and Regulations on Residential Mobilitynd that both government policies have a strong impact on residential mobility. The implementation of an income tax deduction system linked to capital losses increases owners’ mobility, especially for those households with a large LTV (loan-to-value ratio).作者: muster 時間: 2025-3-27 08:02
Housing Tenure Choice After the Revision of the Rental Actthe estimation of the hedonic price regression of each housing tenure alternative. We find that households with a smaller number of family members, those who moved from outside the local housing market, those headed by an unmarried household head, and those with plans to own a house in the near futu作者: Affirm 時間: 2025-3-27 12:37 作者: 四目在模仿 時間: 2025-3-27 17:10 作者: lambaste 時間: 2025-3-27 20:33
Miki Sekoogs (GR and REID) are present. Applying the ALM approach involves three steps: (1) supervised training of the model, using available GR, REID, and DT logs; (2) confirmation and validation of the model by blind-testing the results in a well containing both the predictors (GR, REID) and the target (DT作者: 彩色 時間: 2025-3-28 00:55 作者: Working-Memory 時間: 2025-3-28 05:31
Miki Sekoes because it primarily relates to the organic matter content. When discussing drilling operations for gas shale, generating an accurate TOC depth distribution is one of the most important steps in the process of estimating the gas abundance. TOC is measured customarily by retrieving core samples fr作者: patriarch 時間: 2025-3-28 07:51 作者: 加劇 時間: 2025-3-28 11:50
Miki Sekofocus is on a model featuring compartmental periodic alpha unpredictable coefficients and input data. An algorithm that expands the alpha unpredictable functions by applying diagonalization to the arguments of functions of several variables is proposed. Sufficient conditions for the existence and un作者: Incommensurate 時間: 2025-3-28 15:23
se approaches typically fall short in addressing the deeper causal relationships that underlie the visible features, leading to potential biases and limited generalizability. This paper presents a fine-grained causal contrastive network (FCCN), a novel architecture that integrates causal inference w作者: 廣口瓶 時間: 2025-3-28 20:04 作者: Inferior 時間: 2025-3-29 02:40 作者: 不舒服 時間: 2025-3-29 06:12 作者: 航海太平洋 時間: 2025-3-29 10:07
identifying hits. Hence, there is a clear need for ‘big data’ compatible chemoinformatics methods to analyze such vast combinatorial compound collections. For example, a library can be characterized by its data distribution on a 2D map. Generative Topographic Mapping (GTM) is particularly well-suit作者: 揮舞 時間: 2025-3-29 14:46
Miki Sekoarty providers to label their unlabeled data. This practice is widely regarded as secure, even in cases where some annotated errors occur, as the impact of these minor inaccuracies on the final performance of the models is negligible and existing backdoor attacks require attacker’s ability to poison作者: 粗糙 時間: 2025-3-29 16:31
Miki Sekonetworks have been found vulnerable to multiple kinds of natural, artificial, and adversarial image perturbations. In contrast, the human visual system has a remarkable robustness against a wide range of perturbations. At present, it is still unclear what mechanisms underlie this robustness. To bett作者: arcane 時間: 2025-3-29 23:11
Miki Sekoy. Data splitting is crucial for better benchmarking of such AI models. Traditional random data splits produce similar molecules between training and test sets, conflicting with the reality of VS libraries which mostly contain structurally distinct compounds. Scaffold split, grouping molecules by sh作者: Lamina 時間: 2025-3-30 01:47
Miki Seko and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024...The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics:?..Part I - theory of neural networks 作者: asthma 時間: 2025-3-30 07:57 作者: 出來 時間: 2025-3-30 11:35
Miki Sekoissue. To address this bottleneck, we propose a similarity-based Auxiliary Unlabeled Guidance Network (AUGNet), extracting auxiliary information from unlabeled images as a supplement of the original support guidance. First, the Auxiliary Information Generation module (AIG) refines unlabeled informat作者: aerial 時間: 2025-3-30 15:24 作者: parallelism 時間: 2025-3-30 17:18
ne Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024...The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics:?..Part I - theory of neural networks and machin
