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1,201.0328 | Let us first agree on what the term "semantics" means: An unorthodox
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1,201.0414 | Continuity in Information Algebras | [0.004874754697084, 0.01284213270992, 0.005925842560827, -0.020765714347362, -0.022409724071621003, 0.0006527185905720001, -0.012653475627303, -0.004595138598233, -0.004217825364321, -0.046166993677616, 0.035278808325529, 0.028702773153781003, 0.017747206613421003, 0.012276162393391, 0.006293049082159, -0.011299190111458001, 0.023056546226143, 0.029457399621605002, -0.011319403536617001, -0.004089808091521, -0.020833091810345, -0.0014940937981, -0.026681451126933, -0.020240170881152, -0.0034244563430540003, 0.007579957600682001, 0.021439488977193003, -0.038485970348119, -0.010288529098033001, -0.012303113006055001, 0.019135180860757002, 0.021169979125261, -0.036868914961814006, 0.018043667078018, 0.006232409272342001, 0.0019371001981190001, 0.009453048929572001, -0.015308145433664001, 0.021223880350589003, -0.022342346608638, 0.028999233618378, 0.033446140587329004, 0.005868571344763001, -0.014162729494273002, 0.025401279330253, 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1,201.0478 | Technical Note: Exploring \Sigma^P_2 / \Pi^P_2-hardness for
Argumentation Problems with fixed distance to tractable classes | [0.022391721606254, 0.0009396650712000001, -0.005482975859194001, -0.026948096230626002, 0.015801003202795, 0.032438039779663, -0.015619862824678001, -0.000304150162264, -0.01950741186738, -0.026209600269794003, 0.013905997388064001, 0.016135416924953003, 0.007956237532198, -0.008666864596307, 0.0033545780461280003, 0.022949077188968003, 0.022740067914128, 0.008680798113346001, 0.020301641896367, 0.015689533203840002, -0.026920227333903, 0.000219131805351, -0.003925866447389, -0.011801984161138, 0.0023548232857130004, 0.017194390296936, 0.027129236608743, -0.018587777391076, -0.024997355416417, -0.024788346141576, 0.040101666003465, -0.02204337529838, -0.020761460065841, -0.013822394423186002, -0.001413416466675, -0.008910707198083, -0.002191100269556, -0.007440684363245, 0.01832303404808, -0.007858700118958001, 0.035642828792333006, 0.009098813869059, -0.0036994412075720003, -0.02395231463015, -0.007733295205980001, 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1,201.0564 | The RegularGcc Matrix Constraint | [0.004004224669188, 0.0022163735702630002, -0.005834225565195, -0.014169335365295, 0.0036845891736440005, -0.0029575063381340003, -0.031527999788522006, -0.006508621387183, -0.027425426989793004, -0.018686382099986, 0.020442619919776, 0.009884112514555001, 0.005261691752821001, 0.01098000537604, 0.013136667199432002, 0.017730988562107003, 0.020807918161153002, -0.019824424758553002, 0.011296128854155001, 0.016340047121047002, -0.029673412442207003, -0.007889024913311001, -0.032848693430423, -0.028549419716000002, 0.0042992727831000005, 0.02257820777595, 0.030656905844807004, -0.02269060537219, -0.009413440711796001, -0.012040773406624001, 0.014267684891819002, -0.025458438321948003, -0.010200235061347, 0.000300975429126, -0.020063273608684002, -0.010460158810019, 0.010607683099806, -0.007650176528841, 0.002595721045508, 0.008956817910075, 0.038890153169631, -0.0017017954960460002, 0.006059024017304001, -0.0032156733796000004, 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1,201.0566 | Learning joint intensity-depth sparse representations | "[-0.014693190343677002, 0.021906465291976002, 0.030817808583378, -0.022537978366017, -0.02371680177(...TRUNCATED) |
1,201.061 | Random Forests for Metric Learning with Implicit Pairwise Position
Dependence | "[-0.024644168093800004, -0.004090247210115, -0.01429361756891, -0.009152569808065001, -6.7439876147(...TRUNCATED) |
1,201.0782 | "Umgebungserfassungssystem fuer mobile Roboter (environment logging\n system for mobile autonomous (...TRUNCATED) | "[0.011404967866837002, 0.005667881574481001, -0.010809805244207, -0.028872285038232002, -0.00592047(...TRUNCATED) |
1,201.0794 | Sparse Nonparametric Graphical Models | "[-0.032114103436470004, 0.024247497320175, 0.0026075842324640003, -0.004034502897411, -0.0026362575(...TRUNCATED) |
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