The thesis is a part of the research done at the Department of Computer Science at the University of Helsinki, and at Helsinki Institute for Information Technology HIIT. Jeremias Berg will defend his doctoral thesis on Solving Optimization Problems via Maximum Satisfiablity in Kumpula.Going beyond previously proposed preprocessing rules we also propose and evaluate a Max SAT-specific preprocessing technique called subsumed label elimination (SLE).Tags: Essay On Hard Work Is A Key To SuccessExamples Of Definition EssayGolden Age Of Athens EssayMedical Transcriptionist Cover Letter ResumeThesis On E-LearningResearch Paper Ideas For College EnglishApollo 13 Leadership EssayI Want A Wife EssayChild Abuse Domestic Violence Essay
As such efficient methods for solving instances of such problems can save time, money, and other resources in several different applications.
This thesis investigates exact declarative approaches to combinatorial optimization within the maximum satisfiability (Max SAT) paradigm, using propositional logic as the constraint language of choice.
All theses scanned by the MIT Libraries are scanned in black and white mode. Massachusetts Institute of Technology (5)Zhang, Xiaoming, S. Massachusetts Institute of Technology (5)Zhang, Yang, S. Massachusetts Institute of Technology (5)Chen, Yi, S. Massachusetts Institute of Technology (4)Di Lorenzo, Daniel John (4)Hadjiyiannis, Nicholas (4)Li, Dan, 1969- (4)...
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Ethesis Computer Science Essay Importance Of English Education
Theses in this collection have been scanned by Document Services or submitted in electronic format by thesis authors. If you have questions about MIT theses in DSpace, contact Document Services. Asiri PDF Disrupting diffusion: Critical nodes in network, Preeti Bhardwaj PDF Recognition of activities of daily living, Yunfei Feng PDF A data-driven situation-aware framework for predictive analysis in smart environments, Hoda Gholami PDF Effectiveness of classification approach in recovering pairwise causal relations from data., Kristima Guha Thakurta PDF A study of interpretability mechanisms for deep networks, Apurva Dilip Kokate PDF Large-scale study of substitutability in the presence of effects, Jackson Lowell Maddox PDF Towards efficient and accountable oblivious cloud storage, Qiumao Ma PDF Improved triangle counting in graph streams: Neighborhood multi-sampling, Kiana Mousavi Hanjani PDF High performance computing applications: Inter-process communication, workflow optimization, and deep learning for computational nuclear physics, Gianina Alina Negoita PDF Data augmentation for supervised learning with generative adversarial networks, Manaswi Podduturi PDF Graph compression using heuristic-based reordering, Pavithra Rajarathinam PDF Collective program analysis, Ganesha Upadhyaya PDF Graph Track: An unsupervised graph-based cross-device tracking framework, Tianchen Zhou PDF Improving testing performance by dynamic prioritization of tests based on method invocation orders, Sriram Balasubramanian PDF Computer detection of spatial visualization in a location-based task, Georgi Iliev Batinov PDF A User Configurable B-tree Implementation as a Utility, Sheng Bi PDF Devices for safety-critical molecular programmed systems, Samuel Jay Ellis PDF A testbed for multi-robot systems, Tianshuang Gao PDF Many-to-one private set intersection, Keji Hu PDF Parity-based Data Outsourcing: Extension, Implementation, and Evaluation, Zhenbi Hu PDF Computing change of invariants to support software evolution, Ashwin Kallingal Joshy PDF Triangle counting in graph streams: Power of multi-sampling, Neeraj Kavassery Parakkat PDF Exploiting implicit belief to resolve sparse usage problem in usage-based specification mining, Samantha Syeda Khairunnesa PDF Synthesizing species trees from gene trees using the parameterized and graph-theoretic approaches, Ju Cheol Moon PDF Verification of Well-formedness in Message-Passing Asynchronous Systems modeled as Communicating Finite-State Machines, Shiva Shankar Nalla PDF Negotiation Based Resource Allocation to Control Information Diffusion, Sai Sravanthi Nudurupati PDF Flattening methods for adaptive location-based software to user abilities, Thitivatr Patanasakpinyo PDF λir : A language with intensional receive, Swarn Priya PDF A hybrid approach for selecting and optimizing graph traversal strategy for analyzing big code, Ramanathan Ramu PDF Targeted Influence Maximization In Labeled Social Networks with Non-Target Constraints, Naresh Somisetty PDF Algorithmic randomness and analysis, Donald M.A sample of dissertations submitted for taught Masters degree courses are kept for five years and made available online to members of the University of Bath only.on Friday the 25th of May 2018 at 12 o'clock noon in the University of Helsinki Exactum Building, Auditorium CK112 (Gustaf Hällströmin katu 2b, Basement).His opponent is Associate Professor Inês Lynce (Universidade de Lisboa, Portugal) and custos Associate Professor Matti Järvisalo (University of Helsinki). NP-hard combinatorial optimization problems are commonly encountered in numerous different domains.Specifically we contribute to both Max SAT solving and encoding techniques.In the first part of the thesis we contribute to Max SAT solving technology by developing solver independent Max SAT preprocessing techniques that re-encode Max SAT instances into other instances.In the second part of the thesis we propose and evaluate new Max SAT encodings to two important data analysis tasks: correlation clustering and bounded treewidth Bayesian network learning.For both problems we empirically evaluate the resulting Max SAT-based solution approach with other exact algorithms for the problems.The word "thesis" comes from the Greek word, meaning "position", and refers to an intellectual proposition.The Indian Institute of Technology Kharagpur (commonly known as IIT Kharagpur or IIT KGP) is an autonomous engineering and technology-oriented institute of higher education established by the Government of India in 1951.