Online Max-Margin Weight Learning with Markov Logic Networks Tuyen N. Huynh and Raymond J. Mooney Machine Learning Group Department of Computer Science
Total variation methods are one of the most popular techniques in ... Rudin-Osher Fatemi 89/92, Chambolle-Lions 96, Scherzer-Dobson 96, Meyer 01,... TV flow ...
Lagrange in 1797 ! This technique has been very useful in conjunction with Branch and Bound methods. Since 1970 this has been the bounding technique of choice ...
Gate and Wire Sizing. by Lagrangian Relaxation. Karush-Kuhn-Tucker conditions ... I will put it on the course website. The url is : http://cc.ee.ntu.edu.tw ...
simple and easy to implement. difficult to choose step lengths. theoretic or practical stopping criteria. example ... if data are integral, then z(ut) z 1 ...
Not just dropping but incorporating those into objective function (Lagrangian relaxation) ... Problem IP(u) is a relaxation problem for IP for all u 0. ...
efficient resource allocation for wireless multicast. De-Nian Young. Ming-Syan Chen. IEEE Transactions on Mobile Computing. Slide content thanks in part to Yu-Hsun ...
Apply ellipsoid algorithm to find the minimizer. Performance Limits of Distillation Column ... space that contains the minimizer. Convex function has at least ...
Reverse Engineering MAC. A. Tang (EE, Caltech, USA) Joint work with J.-W. Lee (EEE, ... J. Huang, M. Chiang, A. R. Calderbank (EE, Princeton University, USA) ...
... have different approaches based on (approximations) of the ... Numerical evidence: local minimizers. Chan-Vese algorithm seems to compute global minimizers ...
Many related approaches appeared in the last years, e.g. l 1 penalization / sparsity techniques ... Optimal choice of the penalization parameter. i.e. of the ...
Ce chapitre est consacr aux m thodes de type sous-gradient pour ... Les sous-gradients tiennent la place qu'occupe les gradients lorsque la fonction conomique est ...
Stochastic Gradient Descent Training for L1-regularizaed Log-linear Models with ... Stochastic gradient descent training for L1-regularized log-linear models ...
Geometric Hessian may be positive-definite even if the classical one is not. 20 ... Computing the constrained Hessian. Direct computation 'Mixed' computation ...
Rethinking Internet Traffic Management Using Optimization Theory Jennifer Rexford Princeton University Joint work with Jiayue He, Martin Suchara, Ma ayan Bresler ...
Title: Admission Control and Routing Algorithms for the Permanent Virtual Connection (PVC) Service Author: ismc_user Last modified by: mac Created Date
Rethinking Internet Traffic Management Using Optimization Theory. Jennifer Rexford ... Joint work with Jiayue He, Martin Suchara, Ma'ayan Bresler, and Mung Chiang ...
School of Computer Science. A Global Progressive Register Allocator. David Ryan Koes ... School of Computer Science. Control Flow. MCNF can only represent ...
Many image processing problems are posed as ill-posed inverse problems. ... or well-posed in the sense of Hadamard if it fulfills the following conditions: ...
? = inf v S O| v|dx (NSEVP) where: O is a bounded domain of R2 and ... (iii) O| v|dx arises in a variety of problems from Image. Processing and Plasticity. ...
... a more detailed study of equations ... Motion of particle achieving diffusion assumes a ... Motion of particles in as a result of diffusion is captured by a ...
On the Placement of Web Server Replicas. Lili Qiu, Microsoft Research ... One of the first experimental studies on placement of Web server replicas ...
Advanced Network Optimization. On the Multicommodity Flow Problem. O-D version ... case, we add pk to Qk, and solve the new restricted master. D-W Decomposition ...
In these instance, we say that the Lagrangian relaxation has a duality(relaxation) gap. To solve problems with a duality gap to completion (i.e. to find an opt. Sol. ...
Source Rate xi. User. Utility. Ui(xi) Source-destination pair indexed by i. source rate. Utility function represents user satisfaction and elasticity. routing matrix ...
Double the work load and design complexity every 18 months. C. Chen ... Increased custom design. Aggressive tuning for performance improvement. Shorter time to market ...
From weak duality, we have that f(y) F(x) The excessive gap condition requires that ... such that after at most N iterations, the iterates have duality gap at most ...
Suppose you are a surgeon and surgery durations are uncertain ... airport gate or runway schedules. Interesting and challenging problem. New approach idea ...
var. R. aggregate congestion cost. link utilization. Avoids bottlenecks in the network ... var. path rates z. z11. z21. z31. Single path routing is non convex ...
Examples: x86, 68k, ColdFire, ARM Thumb, MIPS16, V800, ... Register Usage Restrictions. Instructions may prefer or require a specific subset of registers ...
Distributed Rate Allocation For Multi-Stream Video Transmission ... [Floyd and Fall, 1999] [Kar et al., 2001] [La and Anantharam, 2002] [Chen and Zakhor, 2004] ...
Minimax Open Shortest Path First (OSPF) Routing Algorithms in Networks ... calculate a shortest path spanning ... A shortest path problem for each O-D pair w ...
Distributed Lagrangean Relaxation Protocol for the Generalized Mutual Assignment ... altimeter, but a. touchdown can. be detected. Experiments. Objective ...