dilate 发表于 2025-3-21 19:08:17
书目名称Infinite Interval Problems for Differential, Difference and Integral Equations影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0464635<br><br> <br><br>书目名称Infinite Interval Problems for Differential, Difference and Integral Equations读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0464635<br><br> <br><br>temperate 发表于 2025-3-21 22:41:07
tions over the infinite interval. An important feature of this monograph is that we illustrate almost all the results with examples. The plan of this monograph is as follows. In Chapter 1 we present the existence theory for second order boundary value problems on infinite intervals. We begin with several exam978-94-010-3834-8978-94-010-0718-4inquisitive 发表于 2025-3-22 04:24:46
Continuous Systems,ution satisfying (3.1.2). Finally, in Section 3.5 we establish existence theory for the system (3.1.1) with . ≡ 0 i.e. . together with the boundary conditions . where . is a nonlinear operator mapping .[0, ∞) (or a subspace of .[0, ∞)) into ℝ..构成 发表于 2025-3-22 06:58:00
bought. Typically, several products are bought at the same day and thus, we have per user a sequences of sets (=baskets/ shopping carts). The Markov chain assumption is now that the next action (=shopping cart) of the user depends only on a few of his previous ones.pericardium 发表于 2025-3-22 12:44:55
Ravi P. Agarwal,Donal O’Regan bought. Typically, several products are bought at the same day and thus, we have per user a sequences of sets (=baskets/ shopping carts). The Markov chain assumption is now that the next action (=shopping cart) of the user depends only on a few of his previous ones.Neuralgia 发表于 2025-3-22 14:32:49
Ravi P. Agarwal,Donal O’Regans is the Movielens dataset, a web-based film recommender system, and an important data source for evaluating the studies, with 100,000 samples, including ratings from 943 users for 1,664 movies. The results show that the recommender system with a balltree-based similarity metric can improve the accu亚当心理阴影 发表于 2025-3-22 19:42:00
http://reply.papertrans.cn/47/4647/464635/464635_7.png易发怒 发表于 2025-3-22 23:13:22
Ravi P. Agarwal,Donal O’Regand solution focuses on controlling all interactions and transactions between all involved participants in the production process, all transactions are recorded and stored in the ledger (immutability) of the blockchain. The experimental results are the transactions, all transactions are recorded and s让空气进入 发表于 2025-3-23 04:50:42
http://reply.papertrans.cn/47/4647/464635/464635_9.pngarchetype 发表于 2025-3-23 07:32:05
Ravi P. Agarwal,Donal O’Reganon through an unsupervised learning task and feeds the extracted data into LSTM-based forecaster. The experimental results on seven datasets including both synthetic and real-world chaotic time series reveal that our proposed method outperforms other forecasting methods using only stacked autoencode