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used to define probability distribution in a high-dimensional space.
Factors can be multiplied (fig. 5), marginalized (fig. 6), and reduced (fig. 7 ).
Figure 5
Figure 6
Figure 7
The conditional probability distribution of the student model mentioned above can be drawn in a picture.
Each node represents a factor, and some CPDs have become non-conditional probabilities.
Figure 8
Chain rule)
9. Probability Distribution is defined by the product of a fact
Figure hiring NetworkHttp://www.tupinw.com/--- "GPS Positioning System" for job search"
This semester, I made a mashup application with two students: Graph Job Network.
The main idea is to associate a job search with a recruitment unit map. A job seeker can view a recruitment information and perform a geographical location for the Recruitment Unit on the map. He can also search for information about the
1 0 10 0 1 11 0 0 10 0 1 11 1 1 01 0 1 11 1 1 10 0 1 00 1 1 0Sample output
6
Question: RT
Idea: BFS brute-force search
Pay attention to the following points:
1. Each time the scaling status is expanded, right-handed to 9 blocks
2. There may be many endpoints, because some grids still have the same pattern after rotation.
3. pay attention to the details during processing (this has pitted me for a long time. For example, when I rotate 3rd blocks, I also rotate the Left Block, in fact, there is no
Topic linksTest instructions: How many cuts are there in a given graphLRJ Training Guide P314 templates#include using namespaceStd;typedefLong LongLL;Const intn=109;structedge{intTo,next; Edge () {} Edge (int_to,int_next) { to=_to; Next=_next; }}edge[n*n*2];intHead[n];intDfn[n],low[n];intIscut[n];intN,tot;intTime_tag;voidAddedge (intUintv) {Edge[tot]=Edge (V,head[u]); Head[u]=tot++;}voidinit () {memset (DFN,0,sizeof(DFN)); memset (Iscut,0,sizeof(Iscut)); memset (Head,-1,sizeof(head)); Tot=time_t
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