computational biology

Lecture 6: Dynamic Programming I (Adv) The University of Sydney Page 1 Fast Fourier Transform Dynamic Programming Summary – 1Ddynamicprogramming – Weightedintervalscheduling – SegmentedLeastSquares – Maximum-sumcontiguoussubarray – Longestincreasingsubsequence – 2Ddynamicprogramming – Knapsack – Sequencealignment – Dynamicprogrammingoverintervals – RNASecondaryStructure – Dynamicprogrammingoversubsets – TSP – k-path – Playlist The University of Sydney Page 2 How does Google […]

Analysis of Algorithms, I CSOR W4231 Computer Science Department Copyright By PowCoder代写 加微信 powcoder Columbia University More dynamic programming: sequence alignment 1 Sequence alignment String similarity This problem arises when comparing strings. Example: consider an online dictionary. 􏰉 Input: a word, e.g., “ocurrance” 􏰉 Output: did you mean “occurrence”? Similarity: intuitively, two words are similar

• Support Vector Machines (SVMs). • Semi-Supervised Learning. • Semi-Supervised SVMs. Maria-Florina Balcan 03/25/2015 Support Vector Machines (SVMs). One of the most theoretically well motivated and practically most effective classification algorithms in machine learning. Directly motivated by Margins and Kernels! Geometric Margin WLOG homogeneous linear separators [w0 = 0]. Definition: The margin of example 𝑥