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Additive trees

The Problem An orchard contains 240 apple trees, which produce, on average, 2 bushels of apples per year. If the orchard manager increases the number of trees in the orchard by 60, she calculates that the amount of apples will be reduced by 1 peck per tree. If she goes ahead and plants those 60 additional trees, will the total crop be greater or smaller than the crop obtained from the original 240 trees ... [Pg.37]

Fig. 2.3. The Additive Tree illustrates some of the functions which lubricating oil additives perform (Anon, 1958)... Fig. 2.3. The Additive Tree illustrates some of the functions which lubricating oil additives perform (Anon, 1958)...
This relational chemical database format is extended in ISIS to include 3D models, generic structures, and most recently, reactions. In these cases, additional "trees" in the database hierarchy connect 2D structures with 3D models, connect root structures with corresponding Rgroup members, or connect molecules with reactions. [Pg.377]

Egg Egg Tree nuts Egg Egg Peanut Additives Additives Tree nuts Egg Peanut Peanuts Vegetables Egg... [Pg.313]

Thus, to build a decision tree, one needs to explicitly enumerate all possible scenarios and the responses (decisions) to such scenarios. However, for some problems,. .., a combinatorial explosion of branches makes calculations cumbersome or impractical (Schuyler, 2001). One way that this problem is ameliorated (but not solved) is by introducing Monte Carlo simulations at each node of the decision tree. However, this does not address the problem of having to build the tree in the first place. In addition, trees are appropriate for the case where discrete decisions are made. Continuous decisions like for example the size of the investment, or more specifically, the size of a production plant, cannot be easily fit into decision trees without discretizing. [Pg.327]

With today s busy lifestyles, tree nuts are convenient, tasty, nutritious, and easy snack that contribute to a healthy lifestyle. They are typically consumed as whole nuts (either raw or roasted or salted) or used as ingredients in a variety of processed foods, especially in spreads, bakery, and confectionary products, among others. Tree nnt oils, in particular hazelnut oil, are also used for several purposes such as cooking, salad dressings, and flavoring ingredients, among others [3-6]. In addition, tree nut oils (particularly hazelnut oil) are also components of some skin moisturizers and cosmetic products [7]. [Pg.1]

Broadly speaking, the statistical strategies of analysis can be classified into two families of methods, namely (i) factor analytical methods including, in particular, multidimensional scaling (MDS) and multiple correspondence analysis (MCA) and (ii) methods pertaining to cluster analysis and additive trees. As is usually the case, the choice of one method over another depends on several factors (i) the domain of application (i.e. traditionally, some methods are more popular than others in each particular domain of application) (ii) the individual preferences and background of each practitioner and (iii) the availability of appropriate (and user-friendly) software. [Pg.160]

As an illustration, let us mention that the use of additive trees for analyzing free sorting data is relatively popular in psychology (Dubois, 1991), whereas in psychoacoustics, MDS methods are more often used (Gygi et al., 2007 MacAdams et al., 1995). In the field of sensory analysis that particularly interests us here, the mainstream is to use MDS methods (Faye et al., 2004 King et al., 1998 Lawless et al., 1995 Parr et al, 2007). However, alternative methods of analysis, such as multiple correspondences and allied methods, have also been proposed in this framework (Cadoret et al, 2009 Qannari et al., 2009 Takane, 1981,1982). [Pg.160]

Additive trees Sattah and Tversky, 1977 Bartholomew in Dubois, 1991... [Pg.162]

We will also outline the representation of the products by means of an additive tree. Indeed, this is an appealing concept, which has been used in several studies related to the free sorting task. [Pg.168]

The reason for dwelling on additive trees in this chapter is that, as stated above, they have been quite often used for the analysis of free sorting data (Blancher et al, 2007 Chollet et al., 2011 Chrea et al, 2004). Fnrthermore, they yield a very appealing graphical display that highlights the proximities among prodncts. [Pg.169]

Figure 7.4 Illustration of an additive tree highlighting the similarities between the products... Figure 7.4 Illustration of an additive tree highlighting the similarities between the products...
The determination of an additive tree is based on the four-points condition, which states that a distance, d (say), is a tree distance (i.e. can faithfully be represented by a tree) if and only if for any four products i, j, k and /, we have ... [Pg.170]

Figure 7.9 shows the additive tree resulting from the analysis of dissimilarities between car body styles. The seven groups of the consensus partition are superimposed on the tree. [Pg.176]

Figure 7.9 Additive tree and representation of the consensus partition groups. Figure 7.9 Additive tree and representation of the consensus partition groups.
Abdi, H. (1990). Additive-tree representations (with an application to face processing). Lecture Notes in Biomathematics, 84, 43-59. [Pg.181]

Apples [4]. The owner of some land with apple trees estimates that if he plants 45 trees per hectare, each tree will produce 550 apples annually. For every additional tree that is planted per hectare, the number of apples produced per tree will decrease by eight. How many trees (integer) should be planted per hectare to maximize the productiOTi of apples ... [Pg.315]


See other pages where Additive trees is mentioned: [Pg.153]    [Pg.335]    [Pg.589]    [Pg.25]    [Pg.40]    [Pg.58]    [Pg.169]    [Pg.177]    [Pg.169]    [Pg.177]    [Pg.154]    [Pg.489]    [Pg.2195]    [Pg.254]   
See also in sourсe #XX -- [ Pg.19 ]




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