標(biāo)題: Titlebook: Learning to Learn; Sebastian Thrun,Lorien Pratt Book 1998 Springer Science+Business Media New York 1998 algorithms.artificial neural netwo [打印本頁] 作者: TINGE 時(shí)間: 2025-3-21 16:53
書目名稱Learning to Learn影響因子(影響力)
書目名稱Learning to Learn影響因子(影響力)學(xué)科排名
書目名稱Learning to Learn網(wǎng)絡(luò)公開度
書目名稱Learning to Learn網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Learning to Learn被引頻次
書目名稱Learning to Learn被引頻次學(xué)科排名
書目名稱Learning to Learn年度引用
書目名稱Learning to Learn年度引用學(xué)科排名
書目名稱Learning to Learn讀者反饋
書目名稱Learning to Learn讀者反饋學(xué)科排名
作者: osteocytes 時(shí)間: 2025-3-21 23:11 作者: nerve-sparing 時(shí)間: 2025-3-22 01:38
Jonathan Baxtertrajectory of housing policy in Portugal exploring how, and to what extent, housing has constituted a growing matter of political attention, in a country that—formally—has no urban agenda, but where significant interventions in the housing sector have?occurred in recent times. We explore how housing作者: neologism 時(shí)間: 2025-3-22 05:35
Rich Caruanaurrent revival of urban policies in many European countries, this is neither the direct nor uncontested result of a programmatic and strategic return of city centrality in member states’ national policies. Nor the direct and univocal result of debates and experimentations promoted by the European in作者: 接合 時(shí)間: 2025-3-22 11:41 作者: Lumbar-Stenosis 時(shí)間: 2025-3-22 15:13 作者: tooth-decay 時(shí)間: 2025-3-22 17:37
Sebastian Thrunin case study analysis of agenda-setting processes in comparative policy research. Urban agendas are conceived as communicative acts and analyzed in literature as policy discourses, to the extent they constitute an influential representation of urban reality, framing problems and setting a hierarchy作者: Fraudulent 時(shí)間: 2025-3-23 00:31 作者: Supplement 時(shí)間: 2025-3-23 04:24 作者: 注意力集中 時(shí)間: 2025-3-23 06:37
ntify potential students for these initiatives. It also explores the notion of “epistemological access” in some detail, highlighting the importance of considering national and political context as well as institutional disposition towards academic development as factors impacting the success of acce作者: 燦爛 時(shí)間: 2025-3-23 12:27 作者: 古董 時(shí)間: 2025-3-23 14:26 作者: N防腐劑 時(shí)間: 2025-3-23 21:49
Richard Maclin,Jude W. Shavlikuses particularly on science learning at the interface betwe.Higher education internationally is in a state of transition and transformation, leading to an increase in the level of participation, and a consequent increase in number of non traditional and underprepared students. The appearance of the作者: Oscillate 時(shí)間: 2025-3-24 01:37
oach is able to utilize complex, diverse and high-dimensional data sets, which often occur in manufacturing applications, and to integrate the important process intra- and interrelations. The approach has been evaluated using three scenarios from different manufacturing domains (aviation, chemical a作者: 鍍金 時(shí)間: 2025-3-24 03:59 作者: 極小量 時(shí)間: 2025-3-24 10:21
A Survey of Connectionist Network Reuse Through Transferk on transfer. A number of distinctions between kinds of transfer are identified, and future directions for research are explored. The study of transfer has a long history in cognitive science. Discoveries about transfer in human cognition can inform applied efforts. Advances in applications can als作者: tariff 時(shí)間: 2025-3-24 13:19 作者: dowagers-hump 時(shí)間: 2025-3-24 17:30 作者: Loathe 時(shí)間: 2025-3-24 22:39
Multitask Learning of . tasks as an inductive bias. It does this by learning tasks in parallel while using a shared representation; what is learned for each task can help other tasks be learned better. This paper reviews prior work on MTL, presents new evidence that MTL in backprop nets discovers task relatedness wit作者: adumbrate 時(shí)間: 2025-3-25 00:04
Making a Low-Dimensional Representation Suitable for Diverse Tasksneralization via a better low-dimensional representation of the problem space. The quality of the representation is assessed by embedding it in a 2D space using multidimensional scaling, allowing a direct visualization of the results. The performance of the approach is demonstrated on a highly nonli作者: Decongestant 時(shí)間: 2025-3-25 05:39
The Canonical Distortion Measure for Vector Quantization and Function Approximationd. Common metrics such as the . and . metrics, while mathematically simple, are inappropriate for comparing natural signals such as speech or images. In this paper it is shown how an . of functions on an input space . induces a . (CDM) on X. The depiction “canonical” is justified because it is shown作者: 向下五度才偏 時(shí)間: 2025-3-25 09:39
Lifelong Learning Algorithmsoften generalize correctly from only a single training example, even if the number of potentially relevant features is large. To do so, they successfully exploit knowledge acquired in previous learning tasks, to bias subsequent learning..This paper investigates learning in a lifelong context. In con作者: 神化怪物 時(shí)間: 2025-3-25 13:01 作者: 過于平凡 時(shí)間: 2025-3-25 16:40
Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledge” Such methods have repeatedly been found to outperform conventional, single-task learning algorithms when the learning tasks are appropriately related. To increase robustness of such approaches, methods are desirable that can reason about the relatedness of individual learning tasks, in order to av作者: Notorious 時(shí)間: 2025-3-25 23:41
Child: A First Step Towards Continual Learningcontinual-learning agent should therefore learn incrementally and hierarchically. This paper describes CHILD, an agent capable of . and .. CHILD can quickly solve complicated non-Markovian reinforcement-learning tasks and can then transfer its skills to similar but even more complicated tasks, learn作者: onlooker 時(shí)間: 2025-3-26 02:42
Reinforcement Learning with Self-Modifying Policiesmodifiable components represented as part of the policy, then we speak of a self-modifying policy (SMP). SMPs can modify the way they modify themselves etc. They are of interest in situations where the initial learning algorithm itself can be improved by experience — this is what we call “l(fā)earning t作者: 離開真充足 時(shí)間: 2025-3-26 04:34
Creating Advice-Taking Reinforcement Learnersof training episodes. We present and evaluate a design that addresses this shortcoming by allowing a connectionist Q-learner to accept advice given, at any time and in a natural manner, by an external observer. In our approach, the advice-giver watches the learner and occasionally makes suggestions,作者: 字形刻痕 時(shí)間: 2025-3-26 10:31 作者: 清醒 時(shí)間: 2025-3-26 15:44
Learning to Learn: Introduction and Overviewns. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications (see e.g., [Langley, 1992; Widrow et al., 1994]).作者: 連接 時(shí)間: 2025-3-26 19:06
Theoretical Models of Learning to Learnom the environment [Baxter, 1995b; Baxter, 1997]. In this paper two models of bias learning (or equivalently, learning to learn) are introduced and the main theoretical results presented. The first model is a PAC-type model based on empirical process theory, while the second is a hierarchical Bayes model.作者: 意外 時(shí)間: 2025-3-26 21:42
The Canonical Distortion Measure for Vector Quantization and Function Approximation environment. The CDM is calculated in closed form for several different function classes. An algorithm for training neural networks to implement the CDM is presented along with some encouraging experimental results.作者: dithiolethione 時(shí)間: 2025-3-27 02:21 作者: endoscopy 時(shí)間: 2025-3-27 05:18
Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledgexploits information selectively from this task cluster only. An empirical study carried out in a mobile robot domain shows that TC outperforms its non-selective counterpart in situations where only a small number of tasks is relevant..作者: 逗它小傻瓜 時(shí)間: 2025-3-27 09:51
ctions from experience. As machine learning is maturing, ithas begun to make the successful transition from academic research tovarious practical applications. Generic techniques such as decisiontrees and artificial neural networks, for example, are now being usedin various commercial and industrial作者: BILK 時(shí)間: 2025-3-27 15:47
Transfer in Cognition, the importance of “surface content”, and the nature of the representations that are used. We will draw out these common themes, and note ways of facilitating transfer. We also briefly note possible implications for the study of transfer in neural networks.作者: 丑惡 時(shí)間: 2025-3-27 19:10 作者: 舉止粗野的人 時(shí)間: 2025-3-28 01:33 作者: Hyperopia 時(shí)間: 2025-3-28 03:19
https://doi.org/10.1007/978-1-4615-5529-2algorithms; artificial neural network; cognition; control; data mining; decision tree; knowledge; learning; 作者: 許可 時(shí)間: 2025-3-28 10:06 作者: indoctrinate 時(shí)間: 2025-3-28 13:39 作者: Friction 時(shí)間: 2025-3-28 15:05
Child: A First Step Towards Continual Learningcontinual-learning agent should therefore learn incrementally and hierarchically. This paper describes CHILD, an agent capable of . and .. CHILD can quickly solve complicated non-Markovian reinforcement-learning tasks and can then transfer its skills to similar but even more complicated tasks, learning these faster still.作者: 外面 時(shí)間: 2025-3-28 22:11 作者: 致敬 時(shí)間: 2025-3-28 23:42
Multitask Learningn algorithm for multitask learning in decision trees. Because multitask learning works, can be applied to many different kinds of domains, and can be used with different learning algorithms, we conjecture there will be many opportunities for its use on real-world problems.作者: 高度表 時(shí)間: 2025-3-29 03:20 作者: CONE 時(shí)間: 2025-3-29 10:34 作者: 法官 時(shí)間: 2025-3-29 12:14
Book 1998learning with human learning. Humans encounter acontinual stream of learning tasks. They do not just learn concepts ormotor skills, they also learn .bias., i.e., they learn how togeneralize. As a result, humans are often able to generalize correctlyfrom extremely few examples - often just a single e作者: 帶傷害 時(shí)間: 2025-3-29 19:27 作者: 混雜人 時(shí)間: 2025-3-29 22:58
Anthony Robinsandomization (ASLR). ASLR involves randomly arranging the positions of key data areas. This includes the base of the executable and position of libraries, heap, and stack, in a process‘s address space. ASLR is effective in prevention against the buffer overflow exploits. Access Control List is provi作者: avulsion 時(shí)間: 2025-3-30 02:35
oners and researchers writing signatures to prevent virus and software vulnerabilities. This book is also suitable for advanced-level students in computer science and engineering studying information security, as a secondary textbook or reference..978-0-387-89468-3Series ISSN 1568-2633 Series E-ISSN 2512-2193 作者: languid 時(shí)間: 2025-3-30 04:28
Jonathan Baxterr proposes a genealogy of the emergence of the idea of “housing policy” as a matter of political attention in its own right and its status as a component in the country’s urban agenda. A key focus of the analysis will be the relationship that has developed between Portugal and the EU—from the countr
