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It is important to collect credible training samples $(x,y)$ for building data-intensive learning systems (e.g., a deep learning system). Asking people to report complex distribution $p(x)$, though theoretically viable, is challenging in…

Machine Learning · Computer Science 2021-02-26 Jiaheng Wei , Zuyue Fu , Yang Liu , Xingyu Li , Zhuoran Yang , Zhaoran Wang

Reviews contain rich information about product characteristics and user interests and thus are commonly used to boost recommender system performance. Specifically, previous work show that jointly learning to perform review generation…

Information Retrieval · Computer Science 2022-09-13 Zhouhang Xie , Julian McAuley , Bodhisattwa Prasad Majumder

Assessment of classification techniques on predicting success or failure of Software reusability

Software Engineering · Computer Science 2014-09-09 Nahid Hajizadeh , Manijeh Keshtgari , Marzieh Ahmadzadeh

Explainability and effectiveness are two key aspects for building recommender systems. Prior efforts mostly focus on incorporating side information to achieve better recommendation performance. However, these methods have some weaknesses:…

Information Retrieval · Computer Science 2019-03-12 Weizhi Ma , Min Zhang , Yue Cao , Woojeong , Jin , Chenyang Wang , Yiqun Liu , Shaoping Ma , Xiang Ren

The use of relevant metrics of software systems could improve various software engineering tasks, but identifying relationships among metrics is not simple and can be very time consuming. Recommender systems can help with this…

Software Engineering · Computer Science 2018-01-23 Maral Azizi , Hyunsook Do

We consider estimation procedures which are recursive in the sense that each successive estimator is obtained from the previous one by a simple adjustment. We propose a wide class of recursive estimation procedures for the general…

Statistics Theory · Mathematics 2007-05-23 Teo Sharia

Recently, research on explainable recommender systems has drawn much attention from both academia and industry, resulting in a variety of explainable models. As a consequence, their evaluation approaches vary from model to model, which…

Information Retrieval · Computer Science 2021-05-11 Lei Li , Yongfeng Zhang , Li Chen

Comment to "Mechanism for Designing Metamaterials with a High Index of Refraction" by J. T. Shen, Peter B. Catrysse and Shanhui Fan.

Other Condensed Matter · Physics 2010-06-29 Alexey Shuvaev , Andrei Pimenov

This letter is my comment about the opinion paper: Transdisciplinary electric power grid science (PNAS, 2013 - http://www.pnas.org/content/110/30/12159.full). [arXiv:1307.7305].

Systems and Control · Computer Science 2017-06-20 Pedro H. J. Nardelli

Questions concerning the development of a logical model of innovation project data, as well as those concerning the design of information systems for decision-making support in the management of innovation projects, are discussed.

Other Computer Science · Computer Science 2016-11-27 L. Mylnikov , A. Trusov

We present an end-to-end differentiable training method for retrieval-augmented open-domain question answering systems that combine information from multiple retrieved documents when generating answers. We model retrieval decisions as…

Computation and Language · Computer Science 2021-12-07 Devendra Singh Sachan , Siva Reddy , William Hamilton , Chris Dyer , Dani Yogatama

The concept of signature is a useful tool in the analysis of semicoherent systems with continuous and i.i.d. component lifetimes, especially for the comparison of different system designs and the computation of the system reliability. For…

Probability · Mathematics 2015-07-23 Jean-Luc Marichal

In these talks, I discuss a few selected topics in integrable models that are of interest from various points of view. Some open questions are also described.

High Energy Physics - Theory · Physics 2017-08-23 Ashok Das

We present an efficient and robust reference resolution algorithm in an end-to-end state-of-the-art information extraction system, which must work with a considerably impoverished syntactic analysis of the input sentences. Considering this…

cmp-lg · Computer Science 2008-02-03 Megumi Kameyama

Discussion of "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]

Methodology · Statistics 2010-10-06 Xiao-Li Meng

A note on "Bayesian nonparametric estimators derived from conditional Gibbs structures" by Antonio Lijoi, Igor Pr\"{u}nster, Stephen G. Walker [arXiv:0808.2863].

Probability · Mathematics 2014-01-17 Antonio Lijoi , Igor Prünster , Stephen G. Walker

This is a complement to my previous article "Advanced Determinant Calculus" (S\'eminaire Lotharingien Combin. 42 (1999), Article B42q, 67 pp.). In the present article, I share with the reader my experience of applying the methods described…

Combinatorics · Mathematics 2007-05-23 Christian Krattenthaler

We consider the Euler approach to construction and to investigation of the superintegrable systems related to the addition theorems. As an example we reconstruct Drach systems and get some new two-dimensional superintegrable Stackel…

Exactly Solvable and Integrable Systems · Physics 2011-09-06 A V Tsiganov

Today, reusable components are available in several repositories. These last are certainly conceived for the reusing However, this re-use is not immediate; it requires, in the fact, to pass through some essential conceptual operations,…

Software Engineering · Computer Science 2010-05-25 Larbi Kzaz , Hicham Elasri , Abderrahim Sekkaki

Models in face of increasing complexity support development of new systems and enterprises. For an efficient procedure, reference models are adapted in order to reach a solution with les overhead which covers all necessary aspects. Here, a…

Software Engineering · Computer Science 2022-11-22 Dominik Ascher , Erik Heiland , Diana Schnell , Peter Hillmann , Andreas Karcher