experiments/benchmark_data.py

benchmark_queries = [
    {"query": "How do we learn statistical predictors from compressed observations?", "relevant_docs": [0, 826, 1808]},
    {"query": "How does topology design affect distributed consensus in sensor networks with random links?", "relevant_docs": [1]},
    {"query": "What models address the on-line shortest path problem under partial monitoring?", "relevant_docs": [2]},
    {"query": "How can neural networks be applied to ordinal regression?", "relevant_docs": [3]},
    {"query": "What is the relationship between parametric learning and Monte Carlo optimization?", "relevant_docs": [4]},
    {"query": "What are the inapproximability bounds for correlation clustering?", "relevant_docs": [6]},
    {"query": "How can we perform joint universal lossy coding and identification for stationary mixing sources?", "relevant_docs": [7]},
    {"query": "How does the Hilbert-Schmidt Independence Criterion filter features for supervised selection?", "relevant_docs": [8]},
    {"query": "What is the equivalence of LP relaxation and max-product belief propagation for weighted matching?", "relevant_docs": [9, 1798]},
    {"query": "How do non-linear merging techniques improve HMM speaker identification?", "relevant_docs": [10, 514]},
    {"query": "How does statistical mechanics analyze the generalization of a student in a model with ensemble teachers?", "relevant_docs": [11, 105]},
    {"query": "How to make a training set consistent with monotonic constraints via minimal correction?", "relevant_docs": [12]},
    {"query": "How do mixed membership stochastic blockmodels handle relationships for pairs of objects?", "relevant_docs": [13]},
    {"query": "How to derive loop corrections for message passing algorithms in continuous variable models?", "relevant_docs": [14]},
    {"query": "What is a novel model for working set selection in SMO decomposition methods for training SVMs?", "relevant_docs": [15]},
    {"query": "What are probabilistic graphical models and how are they used in computational biology?", "relevant_docs": [16]},
    {"query": "How does conformal prediction use past experience to determine confidence levels?", "relevant_docs": [17]},
    {"query": "What are scale-sensitive Psi-dimensions and how do they bound risk for classifiers?", "relevant_docs": [18]},
    {"query": "How does discrete time sequence affect the creation of knowledge in humans?", "relevant_docs": [19]},
    {"query": "How can sparse principal component analysis be used for clustering and feature selection?", "relevant_docs": [20, 22, 321, 1607]},
    {"query": "How to select models through sparse maximum likelihood estimation for Gaussian distributions?", "relevant_docs": [21]},
    {"query": "What are optimal solutions for maximizing variance explained in sparse principal component analysis?", "relevant_docs": [20, 22, 188, 321, 932, 1274]},
    {"query": "What is the new generalization of the Chebyshev inequality for random vectors?", "relevant_docs": [23, 1116]},
    {"query": "How to analyze Internet-supported communication in virtual communities using clusters and graphs?", "relevant_docs": [24]},
    {"query": "How does an agent perform universal reinforcement learning in an unmodeled environment?", "relevant_docs": [25, 817, 1104, 1108, 1920]},
    {"query": "What is the consistency of the group Lasso in multiple kernel learning with block 1-norm regularization?", "relevant_docs": [26, 1025]},
    {"query": "What quantum algorithms exist for learning and testing juntas?", "relevant_docs": [27, 139, 378, 412, 1042]},
    {"query": "How can support vector machines and structure kernels be used for virtual screening?", "relevant_docs": [28]},
    {"query": "How does rate-distortion theory help in automated theory building by distinguishing structure from noise?", "relevant_docs": [29]},
    {"query": "What are cost-minimising strategies for active learning and optimal stopping in data labelling?", "relevant_docs": [30, 201, 279, 1012, 1194, 1895]},
    {"query": "How is defensive forecasting applied to prediction with expert advice?", "relevant_docs": [31, 34, 229, 502]},
    {"query": "How to approximate causal architecture and estimate stored information for optimal causal inference?", "relevant_docs": [32, 1309]},
    {"query": "How does Solomonoff's universal semimeasure converge for predicting Martin-Loef random sequences?", "relevant_docs": [33]},
    {"query": "What is the unified view of continuous and randomized defensive forecasting?", "relevant_docs": [31, 34, 229, 502]},
    {"query": "What is the dichotomy theorem for the general minimum cost homomorphism problem?", "relevant_docs": [35]},
    {"query": "How to filter additive measurement noise using the maximum entropy in the mean method?", "relevant_docs": [36]},
    {"query": "How does the Bayesian framework relate to universal prediction and confirmation?", "relevant_docs": [37]},
    {"query": "How to apply machine learning for dynamic bidding in cognitive radio networks?", "relevant_docs": [38]},
    {"query": "How does mutual information help select relevant variables in spectrometric nonlinear modelling?", "relevant_docs": [39]},
    {"query": "What is the fast algorithm for implementing dissimilarity self-organizing maps?", "relevant_docs": [40]},
    {"query": "How to adapt self-organizing maps for data described by a dissimilarity table?", "relevant_docs": [41]},
    {"query": "How can self-organizing maps analyze complex symbolic and functional data?", "relevant_docs": [42]},
    {"query": "How to quickly select spectral variables using B-spline compression in chemometrics?", "relevant_docs": [43]},
    {"query": "How to combine mutual information and forward feature selection using resampling methods?", "relevant_docs": [44]},
    {"query": "What are the methods for incremental learning in evolving classifiers?", "relevant_docs": [45]},
    {"query": "How are support vector machines used for image classification?", "relevant_docs": [46]},
    {"query": "What is the optimal learning rate for prediction with expert advice in the Brier game?", "relevant_docs": [47]},
    {"query": "How are association rules represented in relational calculus for data mining?", "relevant_docs": [48, 744]},
    {"query": "How to analyze the structure of verbal sequences using unsupervised learning data mining?", "relevant_docs": [49]},
    {"query": "How does trace norm minimization regularize parameter estimation in linear models?", "relevant_docs": [50, 1058, 1619]},
    {"query": "How can we efficiently reduce the learning problem of ranking into binary classification?", "relevant_docs": [51, 161, 1074, 1461, 1747]},
    {"query": "How to statistically resolve underlying haplotype pairs using combining haplotypers?", "relevant_docs": [52]},
    {"query": "What are the principles and implementations of spectral clustering?", "relevant_docs": [53, 564, 1263]},
    {"query": "How to build rules on top of ontologies for the semantic web using inductive logic programming?", "relevant_docs": [54]},
    {"query": "What is the empirical evaluation of higher-order tensor decomposition algorithms?", "relevant_docs": [55]},
    {"query": "How to use inverse sampling for nonasymptotic sequential estimation of bounded variable means?", "relevant_docs": [56]},
    {"query": "How does One-against-One compare to One-against-All in image classification with SVMs?", "relevant_docs": [46, 57]},
    {"query": "How does clustering with transitive distance relate to K-Means duality?", "relevant_docs": [58]},
    {"query": "How to derive normalized mutual information to evaluate binary classifications?", "relevant_docs": [59]},
    {"query": "How is PCA defined for categorical variables using regular simplex expressions?", "relevant_docs": [60]},
    {"query": "What is the relationship between the posterior distribution and optimal similarity in classification?", "relevant_docs": [61]},
    {"query": "How does a reactive tabu search algorithm generate meaningless words matching psycholinguistic stimuli?", "relevant_docs": [62]},
    {"query": "What are the equations of states in singular statistical estimation for hierarchical learning machines?", "relevant_docs": [63, 288]},
    {"query": "What is a universal kernel that makes all regular languages linearly separable?", "relevant_docs": [64]},
    {"query": "How to perform automatic pattern classification using dimensionality reduction with mirroring neural networks?", "relevant_docs": [65]},
    {"query": "What algorithms reconstruct Markov random fields from samples in high dimensional distributions?", "relevant_docs": [66]},
    {"query": "What is the theoretic foundation for cross-layer optimization in wireless networks?", "relevant_docs": [67]},
    {"query": "How to choose a density estimate in linear time minimizing the L1-distance?", "relevant_docs": [68]},
    {"query": "How are graph kernels constructed for point clouds in two or three dimensions?", "relevant_docs": [69]},
    {"query": "How to improve piecewise linear separation incremental algorithms for hardware implementation?", "relevant_docs": [70]},
    {"query": "How does spreading activation approach improve collaborative filtering via information transformation?", "relevant_docs": [71, 231]},
    {"query": "What is an online adaptive EM algorithm for latent data models?", "relevant_docs": [72]},
    {"query": "How do economic aggregators summarize numerical information?", "relevant_docs": [73]},
    {"query": "What are the online variants of the cross-entropy method for global optimization?", "relevant_docs": [74]},
    {"query": "How does the factored value iteration algorithm converge for Markov Decision Processes?", "relevant_docs": [75, 268]},
    {"query": "Why is the optimal assignment kernel for labeled graphs not positive definite?", "relevant_docs": [76]},
    {"query": "How is the concept of information width defined in problems without stochastic models?", "relevant_docs": [77, 148]},
    {"query": "What is the complexity of binary samples for a class of functions on a finite interval?", "relevant_docs": [78]},
    {"query": "What are the new estimation procedures for PLS path modelling across numerical variable groups?", "relevant_docs": [79]},
    {"query": "How to learn balanced mixtures of discrete distributions from a small sample size?", "relevant_docs": [80]},
    {"query": "How does Bayesian nonlinear principal component analysis utilize random fields for dimension reduction?", "relevant_docs": [81, 1179, 1397]},
    {"query": "How does spectral regularization enable operator estimation in collaborative filtering?", "relevant_docs": [82, 469, 1522, 1726, 1831]},
    {"query": "How can hidden Markov models concisely define prediction with expert advice?", "relevant_docs": [83, 646, 647]},
    {"query": "What is the radar-shaped statistic for visualizing uniformity in computer experiments?", "relevant_docs": [84]},
    {"query": "How does compressed counting estimate frequency moments efficiently?", "relevant_docs": [85, 1560]},
    {"query": "How does the sign language tutoring tool use recorded videos for isolated signs?", "relevant_docs": [86]},
    {"query": "What are the limits of pure exploration in stochastic multi-armed bandit problems?", "relevant_docs": [87, 162, 195, 623, 734, 735, 799, 802, 894, 964, 994, 1052, 1053, 1065, 1143, 1171, 1198, 1316, 1339, 1458, 1463, 1564, 1575, 1589]},
    {"query": "What emerging knowledge technologies capture and present knowledge?", "relevant_docs": [88]},
    {"query": "How does privacy-preserving learning generalize computational tasks?", "relevant_docs": [89, 408, 1379, 1475]},
    {"query": "How to induce decision trees using ID3 over grid partitioned privacy-preserving data?", "relevant_docs": [90]},
    {"query": "How do collocations establish incremental mind-maps for tracking actors in text streams?", "relevant_docs": [91]},
    {"query": "How is regularized support vector machine optimization equivalent to robustness against input uncertainty?", "relevant_docs": [92, 883, 948, 1150]},
    {"query": "How does recorded step directional mutation accelerate convergence in evolutionary optimization?", "relevant_docs": [93]},
    {"query": "How can support vector machines classify data using indefinite kernels?", "relevant_docs": [94, 1273, 1295]},
    {"query": "What is the unified semi-supervised dimensionality reduction framework for manifold learning?", "relevant_docs": [95, 167, 443, 626, 992, 1011, 1892]},
    {"query": "How does the Bolasso use bootstrap for model consistent Lasso estimation?", "relevant_docs": [96, 211]},
    {"query": "How to kernelize supervised Mahalanobis distance learning algorithms?", "relevant_docs": [97]},
    {"query": "How does isotropic PCA enable affine-invariant clustering of points?", "relevant_docs": [98]},
    {"query": "How to learn k-juntas using multiple random oracles from different distributions?", "relevant_docs": [99]}
]