# Maximal independent

Xem 1-10 trên 10 kết quả Maximal independent
• ### Bài 8: ICA by Maximization of Nongaussianity

In this chapter, we introduce a simple and intuitive principle for estimating the model of independent component analysis (ICA). This is based on maximization of nongaussianity. Nongaussianity is actually of paramount importance in ICA estimation. Without nongaussianity the estimation is not possible at all, as shown in Section 7.5. Therefore, it is not surprising that nongaussianity could be used as a leading principle in ICA estimation.

• ### Independent component analysis P8

ICA by Maximization of Nongaussianity In this chapter, we introduce a simple and intuitive principle for estimating the model of independent component analysis (ICA). This is based on maximization of nongaussianity. Nongaussianity is actually of paramount importance in ICA estimation. Without nongaussianity the estimation is not possible at all, as shown in Section 7.5. Therefore, it is not surprising that nongaussianity could be used as a leading principle in ICA estimation.

• ### HSBC GLOBAL INVESTMENT FUNDS investment company with variable capital incorporated in Luxembourg - JULY 2012

Therefore, we match SRI funds with conventional funds that are initially similar and estimate the differences over time in performance and fees between the initially similar funds. We report results for simple and biased-adjusted estimators obtained using one and four matches per SRI fund. The one-match procedure is the one that most closely approximates the matched-pair methodology used in previous studies and it maximizes the quality of the matches, although at the cost of a small sample size.

• ### Independent component analysis P9

ICA by Maximum Likelihood Estimation A very popular approach for estimating the independent component analysis (ICA) model is maximum likelihood (ML) estimation. Maximum likelihood estimation is a fundamental method of statistical estimation; a short introduction was provided in Section 4.5. One interpretation of ML estimation is that we take those parameter values as estimates that give the highest probability for the observations. In this section, we show how to apply ML estimation to ICA estimation.

• ### Minimization or Maximization of Functions part 1

In a nutshell: You are given a single function f that depends on one or more independent variables. You want to ﬁnd the value of those variables where f takes on a maximum or a minimum value. You can then calculate what value of f is achieved at the maximum or minimum.

• ### English pronunciation made simple part 18

However, English Pronunciation Made Simple may also be used independently by students who want to be better understood in English. Presented in clear, easy-to-understand terms, the material in this book is accompanied by an £udio program that enables students to maximize their learning outside of the classroom.

• ### Foraging: Behavior and Ecology

The last three rows demonstrated the crucial counterintuitive prediction that small prey would be excluded from the diet, independently of their encounter rate, if the encounter rate with large prey were above a certain quantifiable threshold. Those were heady days! Setting aside the fact that the small prey were not totally ignored, it seemed as though a very simple, testable model, derived from a few starting assumptions about rate maximization and constraints on foraging, could actually predicthowan animal responded in an experiment. It’s hard to overstate the excitement at the time....

• ### Đề tài " The ionization conjecture in Hartree-Fock theory "

We prove the ionization conjecture within the Hartree-Fock theory of atoms. More precisely, we prove that, if the nuclear charge is allowed to tend to inﬁnity, the maximal negative ionization charge and the ionization energy of atoms nevertheless remain bounded. Moreover, we show that in Hartree-Fock theory the radius of an atom (properly deﬁned) is bounded independently of its nuclear charge. Contents 1. Introduction and main results 2. Notational conventions and basic prerequisites 3. Hartree-Fock theory 4. Thomas-Fermi theory ...

• ### Used goods, not used bads: Profitable secondary market sales for a durable goods channel

Since pay per click scams depend on technology, brands can use technology-based strategies to fight them. Highly effective automated solutions can detect search ad abuse, prioritize for the worst offenders and then automatically take action. Initiating and driving these strategies should be a top priority for marketing organizations that wish to maximize returns from their paid search investments. Most marketing teams work with their legal department to develop policies, report templates and procedures.