Ihre Diagnose? Fall 6

6 . 047 / 6 . 878 Fall 2008

Compared to human-engineered artifacts, biological systems are strikingly powerful: they are reliable and flexible, capable of storing information at incredible density, and — most importantly — able to self-replicate. In many ways, biology, when viewed as a technology, is vastly superior to any other. Scientists have been modifying biological systems for many years — both to better understand ...

Signalraumdetektion und ihre Anwendungen

6 . 047 / 6 . 878 Fall 2008 Lecture 24 : Module Networks

Biological systems are generally incredibly complex, consisting of a huge number of interacting parts. Consider, for example, the task of understanding the structure of the genetic regulatory system. The dependence among expression levels of all the genes in a cell is so complicated that it makes any sort of detailed understanding almost impossible. The diagram for the functional network of yea...

Probabilistic Robotics , BAIPR 6 , Fall 2011

Unfortunatelly, these problems cannot be solved independently from each other. Each is related to a field of robotics, described with at least a chapter in the textbook [3]. Figure 1 illustrates the overlap between of those robotics fields. The overlapping regions are tagged with Roman numerals. Give a name to each of the overlapping regions, give a short description of that field of research a...

Hands-On Learning Theory Fall 2017, Lecture 6

Recall that in Theorem 2.1, we analyzed empirical risk minimization with a finite hypothesis class F , i.e., |F| < +∞. Here as in Theorem 4.1, we will prove results for a possibly infinite hypothesis class F . We will make a generalization with respect to the previous results. In this lecture, we have z ∈ Z and we use a hypothesis (∀h ∈ F) h : Z → R. This setting is more general than for predic...